Prediction Model with Logistic Regression.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "aabfc9b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the libraries\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "079ed1b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading the dataframes\n",
    "\n",
    "match = pd.read_csv('ipl_match_data_2008_2023.csv')\n",
    "delivery = pd.read_csv('ipl_ball_by_ball_data_2008_2023.csv', low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bfadbf7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>season</th>\n",
       "      <th>event_name</th>\n",
       "      <th>match_type</th>\n",
       "      <th>match_number</th>\n",
       "      <th>city</th>\n",
       "      <th>venue</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>...</th>\n",
       "      <th>team2players</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>winner</th>\n",
       "      <th>result</th>\n",
       "      <th>eliminator</th>\n",
       "      <th>wonBy</th>\n",
       "      <th>margin</th>\n",
       "      <th>method</th>\n",
       "      <th>player_of_match</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>335982</td>\n",
       "      <td>18-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>1</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>...</td>\n",
       "      <td>['SC Ganguly', 'BB McCullum', 'RT Ponting', 'D...</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>field</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>runs</td>\n",
       "      <td>140.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['BB McCullum']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>335983</td>\n",
       "      <td>19-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>2</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>Punjab Cricket Association Stadium, Mohali</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>...</td>\n",
       "      <td>['PA Patel', 'ML Hayden', 'MEK Hussey', 'MS Dh...</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>bat</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>runs</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['MEK Hussey']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>335984</td>\n",
       "      <td>19-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>3</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>...</td>\n",
       "      <td>['T Kohli', 'YK Pathan', 'SR Watson', 'M Kaif'...</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>bat</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['MF Maharoof']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>335986</td>\n",
       "      <td>20-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>4</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "      <td>...</td>\n",
       "      <td>['AC Gilchrist', 'Y Venugopal Rao', 'VVS Laxma...</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "      <td>bat</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['DJ Hussey']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>335985</td>\n",
       "      <td>20-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>5</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>...</td>\n",
       "      <td>['S Chanderpaul', 'R Dravid', 'LRPL Taylor', '...</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>bat</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['MV Boucher']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id        date   season             event_name match_type match_number  \\\n",
       "0  335982  18-04-2008  2007/08  Indian Premier League        T20            1   \n",
       "1  335983  19-04-2008  2007/08  Indian Premier League        T20            2   \n",
       "2  335984  19-04-2008  2007/08  Indian Premier League        T20            3   \n",
       "3  335986  20-04-2008  2007/08  Indian Premier League        T20            4   \n",
       "4  335985  20-04-2008  2007/08  Indian Premier League        T20            5   \n",
       "\n",
       "         city                                       venue  \\\n",
       "0   Bangalore                       M Chinnaswamy Stadium   \n",
       "1  Chandigarh  Punjab Cricket Association Stadium, Mohali   \n",
       "2       Delhi                            Feroz Shah Kotla   \n",
       "3     Kolkata                                Eden Gardens   \n",
       "4      Mumbai                            Wankhede Stadium   \n",
       "\n",
       "                         team1                        team2  ...  \\\n",
       "0  Royal Challengers Bangalore        Kolkata Knight Riders  ...   \n",
       "1              Kings XI Punjab          Chennai Super Kings  ...   \n",
       "2             Delhi Daredevils             Rajasthan Royals  ...   \n",
       "3        Kolkata Knight Riders              Deccan Chargers  ...   \n",
       "4               Mumbai Indians  Royal Challengers Bangalore  ...   \n",
       "\n",
       "                                        team2players  \\\n",
       "0  ['SC Ganguly', 'BB McCullum', 'RT Ponting', 'D...   \n",
       "1  ['PA Patel', 'ML Hayden', 'MEK Hussey', 'MS Dh...   \n",
       "2  ['T Kohli', 'YK Pathan', 'SR Watson', 'M Kaif'...   \n",
       "3  ['AC Gilchrist', 'Y Venugopal Rao', 'VVS Laxma...   \n",
       "4  ['S Chanderpaul', 'R Dravid', 'LRPL Taylor', '...   \n",
       "\n",
       "                   toss_winner toss_decision                       winner  \\\n",
       "0  Royal Challengers Bangalore         field        Kolkata Knight Riders   \n",
       "1          Chennai Super Kings           bat          Chennai Super Kings   \n",
       "2             Rajasthan Royals           bat             Delhi Daredevils   \n",
       "3              Deccan Chargers           bat        Kolkata Knight Riders   \n",
       "4               Mumbai Indians           bat  Royal Challengers Bangalore   \n",
       "\n",
       "  result eliminator    wonBy margin method  player_of_match  \n",
       "0    NaN        NaN     runs  140.0    NaN  ['BB McCullum']  \n",
       "1    NaN        NaN     runs   33.0    NaN   ['MEK Hussey']  \n",
       "2    NaN        NaN  wickets    9.0    NaN  ['MF Maharoof']  \n",
       "3    NaN        NaN  wickets    5.0    NaN    ['DJ Hussey']  \n",
       "4    NaN        NaN  wickets    5.0    NaN   ['MV Boucher']  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Viewing the match Dataset\n",
    "\n",
    "match.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d4616531",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1024, 26)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# There were total 1024 IPL Matches played till the season of 2023\n",
    "\n",
    "match.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ac5a9877-4941-4033-ae61-6c0417cadb38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                   int64\n",
       "date                object\n",
       "season              object\n",
       "event_name          object\n",
       "match_type          object\n",
       "match_number        object\n",
       "city                object\n",
       "venue               object\n",
       "team1               object\n",
       "team2               object\n",
       "referee             object\n",
       "reserve_umpire      object\n",
       "tv_umpire           object\n",
       "umpire1             object\n",
       "umpire2             object\n",
       "team1players        object\n",
       "team2players        object\n",
       "toss_winner         object\n",
       "toss_decision       object\n",
       "winner              object\n",
       "result              object\n",
       "eliminator          object\n",
       "wonBy               object\n",
       "margin             float64\n",
       "method              object\n",
       "player_of_match     object\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Datatype of each column in the 'match' Dataset\n",
    "\n",
    "match.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "971c5cd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Royal Challengers Bangalore', 'Kings XI Punjab',\n",
       "       'Delhi Daredevils', 'Kolkata Knight Riders', 'Mumbai Indians',\n",
       "       'Rajasthan Royals', 'Deccan Chargers', 'Chennai Super Kings',\n",
       "       'Kochi Tuskers Kerala', 'Pune Warriors', 'Sunrisers Hyderabad',\n",
       "       'Gujarat Lions', 'Rising Pune Supergiants',\n",
       "       'Rising Pune Supergiant', 'Delhi Capitals', 'Punjab Kings',\n",
       "       'Lucknow Super Giants', 'Gujarat Titans'], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match['team1'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1c8d364b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Changing names of teams in match dataset\n",
    "\n",
    "match['team1'].replace('Royal Challengers Bangalore', 'Royal Challengers Bengaluru', inplace=True)\n",
    "match['team2'].replace('Royal Challengers Bangalore', 'Royal Challengers Bengaluru', inplace=True)\n",
    "match['winner'].replace('Royal Challengers Bangalore', 'Royal Challengers Bengaluru', inplace=True)\n",
    "match['toss_winner'].replace('Royal Challengers Bangalore', 'Royal Challengers Bengaluru', inplace=True)\n",
    "\n",
    "match['team1'].replace('Deccan Chargers', 'Sunrisers Hyderabad', inplace=True)\n",
    "match['team2'].replace('Deccan Chargers', 'Sunrisers Hyderabad', inplace=True)\n",
    "match['winner'].replace('Deccan Chargers', 'Sunrisers Hyderabad', inplace=True)\n",
    "match['toss_winner'].replace('Deccan Chargers', 'Sunrisers Hyderabad', inplace=True)\n",
    "\n",
    "match['team1'].replace('Kings XI Punjab', 'Punjab Kings', inplace=True)\n",
    "match['team2'].replace('Kings XI Punjab', 'Punjab Kings', inplace=True)\n",
    "match['winner'].replace('Kings XI Punjab', 'Punjab Kings', inplace=True)\n",
    "match['toss_winner'].replace('Kings XI Punjab', 'Punjab Kings', inplace=True)\n",
    "\n",
    "match['team1'].replace('Delhi Daredevils', 'Delhi Capitals', inplace=True)\n",
    "match['team2'].replace('Delhi Daredevils', 'Delhi Capitals', inplace=True)\n",
    "match['winner'].replace('Delhi Daredevils', 'Delhi Capitals', inplace=True)\n",
    "match['toss_winner'].replace('Delhi Daredevils', 'Delhi Capitals', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "460792b8",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>venue</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>innings</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>batter</th>\n",
       "      <th>...</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>is_wkt_delivery</th>\n",
       "      <th>player_out</th>\n",
       "      <th>wkt_type</th>\n",
       "      <th>fielders_involved</th>\n",
       "      <th>byes</th>\n",
       "      <th>legbyes</th>\n",
       "      <th>wides</th>\n",
       "      <th>noballs</th>\n",
       "      <th>penalty</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id   season                  venue           batting_team  \\\n",
       "0  335982  2007/08  M Chinnaswamy Stadium  Kolkata Knight Riders   \n",
       "1  335982  2007/08  M Chinnaswamy Stadium  Kolkata Knight Riders   \n",
       "2  335982  2007/08  M Chinnaswamy Stadium  Kolkata Knight Riders   \n",
       "3  335982  2007/08  M Chinnaswamy Stadium  Kolkata Knight Riders   \n",
       "4  335982  2007/08  M Chinnaswamy Stadium  Kolkata Knight Riders   \n",
       "\n",
       "                  bowling_team  innings  over  ball  is_super_over  \\\n",
       "0  Royal Challengers Bangalore        1     0     1              0   \n",
       "1  Royal Challengers Bangalore        1     0     2              0   \n",
       "2  Royal Challengers Bangalore        1     0     3              0   \n",
       "3  Royal Challengers Bangalore        1     0     4              0   \n",
       "4  Royal Challengers Bangalore        1     0     5              0   \n",
       "\n",
       "        batter  ... total_runs is_wkt_delivery  player_out  wkt_type  \\\n",
       "0   SC Ganguly  ...          1               0         NaN       NaN   \n",
       "1  BB McCullum  ...          0               0         NaN       NaN   \n",
       "2  BB McCullum  ...          1               0         NaN       NaN   \n",
       "3  BB McCullum  ...          0               0         NaN       NaN   \n",
       "4  BB McCullum  ...          0               0         NaN       NaN   \n",
       "\n",
       "   fielders_involved  byes legbyes wides noballs  penalty  \n",
       "0                NaN     0       1     0       0        0  \n",
       "1                NaN     0       0     0       0        0  \n",
       "2                NaN     0       0     1       0        0  \n",
       "3                NaN     0       0     0       0        0  \n",
       "4                NaN     0       0     0       0        0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Loading the 'delivery' dataset\n",
    "\n",
    "delivery.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "18d7e379",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Some of the teams have changed their names, therefore their names must also be changed in this delivery dataset.\n",
    "\n",
    "delivery['batting_team'].replace('Royal Challengers Bangalore', 'Royal Challengers Bengaluru', inplace=True)\n",
    "delivery['bowling_team'].replace('Royal Challengers Bangalore', 'Royal Challengers Bengaluru', inplace=True)\n",
    "\n",
    "delivery['batting_team'].replace('Deccan Chargers', 'Sunrisers Hyderabad', inplace=True)\n",
    "delivery['bowling_team'].replace('Delhi Capitals', 'Sunrisers Hyderabad', inplace=True)\n",
    "\n",
    "delivery['batting_team'].replace('Kings XI Punjab', 'Punjab Kings', inplace=True)\n",
    "delivery['bowling_team'].replace('Kings XI Punjab', 'Punjab Kings', inplace=True)\n",
    "\n",
    "delivery['batting_team'].replace('Delhi Daredevils', 'Delhi Capitals', inplace=True)\n",
    "delivery['bowling_team'].replace('Delhi Daredevils', 'Delhi Capitals', inplace=True)\n",
    "# delivery['over'] += 1\n",
    "# delivery['over'] = delivery['over']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a91a563e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>season</th>\n",
       "      <th>event_name</th>\n",
       "      <th>match_type</th>\n",
       "      <th>match_number</th>\n",
       "      <th>city</th>\n",
       "      <th>venue</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>...</th>\n",
       "      <th>team2players</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>winner</th>\n",
       "      <th>result</th>\n",
       "      <th>eliminator</th>\n",
       "      <th>wonBy</th>\n",
       "      <th>margin</th>\n",
       "      <th>method</th>\n",
       "      <th>player_of_match</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>335982</td>\n",
       "      <td>18-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>1</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>...</td>\n",
       "      <td>['SC Ganguly', 'BB McCullum', 'RT Ponting', 'D...</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>field</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>runs</td>\n",
       "      <td>140.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['BB McCullum']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>335983</td>\n",
       "      <td>19-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>2</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>Punjab Cricket Association Stadium, Mohali</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>...</td>\n",
       "      <td>['PA Patel', 'ML Hayden', 'MEK Hussey', 'MS Dh...</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>bat</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>runs</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['MEK Hussey']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>335984</td>\n",
       "      <td>19-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>3</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>...</td>\n",
       "      <td>['T Kohli', 'YK Pathan', 'SR Watson', 'M Kaif'...</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>bat</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['MF Maharoof']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>335986</td>\n",
       "      <td>20-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>4</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>...</td>\n",
       "      <td>['AC Gilchrist', 'Y Venugopal Rao', 'VVS Laxma...</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['DJ Hussey']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>335985</td>\n",
       "      <td>20-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>5</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>...</td>\n",
       "      <td>['S Chanderpaul', 'R Dravid', 'LRPL Taylor', '...</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>bat</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['MV Boucher']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id        date   season             event_name match_type match_number  \\\n",
       "0  335982  18-04-2008  2007/08  Indian Premier League        T20            1   \n",
       "1  335983  19-04-2008  2007/08  Indian Premier League        T20            2   \n",
       "2  335984  19-04-2008  2007/08  Indian Premier League        T20            3   \n",
       "3  335986  20-04-2008  2007/08  Indian Premier League        T20            4   \n",
       "4  335985  20-04-2008  2007/08  Indian Premier League        T20            5   \n",
       "\n",
       "         city                                       venue  \\\n",
       "0   Bangalore                       M Chinnaswamy Stadium   \n",
       "1  Chandigarh  Punjab Cricket Association Stadium, Mohali   \n",
       "2       Delhi                            Feroz Shah Kotla   \n",
       "3     Kolkata                                Eden Gardens   \n",
       "4      Mumbai                            Wankhede Stadium   \n",
       "\n",
       "                         team1                        team2  ...  \\\n",
       "0  Royal Challengers Bengaluru        Kolkata Knight Riders  ...   \n",
       "1                 Punjab Kings          Chennai Super Kings  ...   \n",
       "2               Delhi Capitals             Rajasthan Royals  ...   \n",
       "3        Kolkata Knight Riders          Sunrisers Hyderabad  ...   \n",
       "4               Mumbai Indians  Royal Challengers Bengaluru  ...   \n",
       "\n",
       "                                        team2players  \\\n",
       "0  ['SC Ganguly', 'BB McCullum', 'RT Ponting', 'D...   \n",
       "1  ['PA Patel', 'ML Hayden', 'MEK Hussey', 'MS Dh...   \n",
       "2  ['T Kohli', 'YK Pathan', 'SR Watson', 'M Kaif'...   \n",
       "3  ['AC Gilchrist', 'Y Venugopal Rao', 'VVS Laxma...   \n",
       "4  ['S Chanderpaul', 'R Dravid', 'LRPL Taylor', '...   \n",
       "\n",
       "                   toss_winner toss_decision                       winner  \\\n",
       "0  Royal Challengers Bengaluru         field        Kolkata Knight Riders   \n",
       "1          Chennai Super Kings           bat          Chennai Super Kings   \n",
       "2             Rajasthan Royals           bat               Delhi Capitals   \n",
       "3          Sunrisers Hyderabad           bat        Kolkata Knight Riders   \n",
       "4               Mumbai Indians           bat  Royal Challengers Bengaluru   \n",
       "\n",
       "  result eliminator    wonBy margin method  player_of_match  \n",
       "0    NaN        NaN     runs  140.0    NaN  ['BB McCullum']  \n",
       "1    NaN        NaN     runs   33.0    NaN   ['MEK Hussey']  \n",
       "2    NaN        NaN  wickets    9.0    NaN  ['MF Maharoof']  \n",
       "3    NaN        NaN  wickets    5.0    NaN    ['DJ Hussey']  \n",
       "4    NaN        NaN  wickets    5.0    NaN   ['MV Boucher']  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Name is changed in the 'match' dataset\n",
    "\n",
    "match.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "92cabf34",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>venue</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>innings</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>batter</th>\n",
       "      <th>...</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>is_wkt_delivery</th>\n",
       "      <th>player_out</th>\n",
       "      <th>wkt_type</th>\n",
       "      <th>fielders_involved</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>SC Ganguly</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>1</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
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       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>335982</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id   season                  venue           batting_team  \\\n",
       "0  335982  2007/08  M Chinnaswamy Stadium  Kolkata Knight Riders   \n",
       "1  335982  2007/08  M Chinnaswamy Stadium  Kolkata Knight Riders   \n",
       "2  335982  2007/08  M Chinnaswamy Stadium  Kolkata Knight Riders   \n",
       "3  335982  2007/08  M Chinnaswamy Stadium  Kolkata Knight Riders   \n",
       "4  335982  2007/08  M Chinnaswamy Stadium  Kolkata Knight Riders   \n",
       "\n",
       "                  bowling_team  innings  over  ball  is_super_over  \\\n",
       "0  Royal Challengers Bengaluru        1     0     1              0   \n",
       "1  Royal Challengers Bengaluru        1     0     2              0   \n",
       "2  Royal Challengers Bengaluru        1     0     3              0   \n",
       "3  Royal Challengers Bengaluru        1     0     4              0   \n",
       "4  Royal Challengers Bengaluru        1     0     5              0   \n",
       "\n",
       "        batter  ... total_runs is_wkt_delivery  player_out  wkt_type  \\\n",
       "0   SC Ganguly  ...          1               0         NaN       NaN   \n",
       "1  BB McCullum  ...          0               0         NaN       NaN   \n",
       "2  BB McCullum  ...          1               0         NaN       NaN   \n",
       "3  BB McCullum  ...          0               0         NaN       NaN   \n",
       "4  BB McCullum  ...          0               0         NaN       NaN   \n",
       "\n",
       "   fielders_involved  byes legbyes wides noballs  penalty  \n",
       "0                NaN     0       1     0       0        0  \n",
       "1                NaN     0       0     0       0        0  \n",
       "2                NaN     0       0     1       0        0  \n",
       "3                NaN     0       0     0       0        0  \n",
       "4                NaN     0       0     0       0        0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Name is changed in 'delivery' dataset\n",
    "\n",
    "delivery.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "172adc1d-c385-4cfb-ac60-ec4d4635824d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 'id' column name of delivery dataset is changed to 'match_id' for easy understanding\n",
    "\n",
    "delivery.rename(columns = {'id' : 'match_id'}, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "95e82917-bfaf-4043-8108-1b6ca6ff50c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "match_id              int64\n",
       "season               object\n",
       "venue                object\n",
       "batting_team         object\n",
       "bowling_team         object\n",
       "innings               int64\n",
       "over                  int64\n",
       "ball                  int64\n",
       "is_super_over         int64\n",
       "batter               object\n",
       "non_striker          object\n",
       "bowler               object\n",
       "runs_off_bat          int64\n",
       "runs_from_extras      int64\n",
       "total_runs            int64\n",
       "is_wkt_delivery       int64\n",
       "player_out           object\n",
       "wkt_type             object\n",
       "fielders_involved    object\n",
       "byes                  int64\n",
       "legbyes               int64\n",
       "wides                 int64\n",
       "noballs               int64\n",
       "penalty               int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Datatypes of 'delivery' dataset\n",
    "\n",
    "delivery.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "be21b391",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>innings</th>\n",
       "      <th>total_runs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>335982</td>\n",
       "      <td>1</td>\n",
       "      <td>222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>335983</td>\n",
       "      <td>1</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>335984</td>\n",
       "      <td>1</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>335985</td>\n",
       "      <td>1</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>335986</td>\n",
       "      <td>1</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2065</th>\n",
       "      <td>1359544</td>\n",
       "      <td>1</td>\n",
       "      <td>197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2067</th>\n",
       "      <td>1370350</td>\n",
       "      <td>1</td>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2069</th>\n",
       "      <td>1370351</td>\n",
       "      <td>1</td>\n",
       "      <td>182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2071</th>\n",
       "      <td>1370352</td>\n",
       "      <td>1</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2073</th>\n",
       "      <td>1370353</td>\n",
       "      <td>1</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1024 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      match_id  innings  total_runs\n",
       "0       335982        1         222\n",
       "2       335983        1         240\n",
       "4       335984        1         129\n",
       "6       335985        1         165\n",
       "8       335986        1         110\n",
       "...        ...      ...         ...\n",
       "2065   1359544        1         197\n",
       "2067   1370350        1         172\n",
       "2069   1370351        1         182\n",
       "2071   1370352        1         233\n",
       "2073   1370353        1         214\n",
       "\n",
       "[1024 rows x 3 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Total runs of the first inning is calculated and 'reset_index()' is used to convert this data into dataframe\n",
    "\n",
    "total_score_df = delivery.groupby(['match_id','innings']).sum()['total_runs'].reset_index()\n",
    "total_score_df = total_score_df[total_score_df['innings'] == 1]\n",
    "total_score_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "78c81c64",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>season</th>\n",
       "      <th>event_name</th>\n",
       "      <th>match_type</th>\n",
       "      <th>match_number</th>\n",
       "      <th>city</th>\n",
       "      <th>venue</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>...</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>winner</th>\n",
       "      <th>result</th>\n",
       "      <th>eliminator</th>\n",
       "      <th>wonBy</th>\n",
       "      <th>margin</th>\n",
       "      <th>method</th>\n",
       "      <th>player_of_match</th>\n",
       "      <th>match_id</th>\n",
       "      <th>total_runs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>335982</td>\n",
       "      <td>18-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>1</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>...</td>\n",
       "      <td>field</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>runs</td>\n",
       "      <td>140.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['BB McCullum']</td>\n",
       "      <td>335982</td>\n",
       "      <td>222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>335983</td>\n",
       "      <td>19-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>2</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>Punjab Cricket Association Stadium, Mohali</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>...</td>\n",
       "      <td>bat</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>runs</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['MEK Hussey']</td>\n",
       "      <td>335983</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>335984</td>\n",
       "      <td>19-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>3</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>...</td>\n",
       "      <td>bat</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['MF Maharoof']</td>\n",
       "      <td>335984</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>335986</td>\n",
       "      <td>20-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>4</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>...</td>\n",
       "      <td>bat</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['DJ Hussey']</td>\n",
       "      <td>335986</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>335985</td>\n",
       "      <td>20-04-2008</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>5</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>...</td>\n",
       "      <td>bat</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['MV Boucher']</td>\n",
       "      <td>335985</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1019</th>\n",
       "      <td>1359544</td>\n",
       "      <td>21-05-2023</td>\n",
       "      <td>2023</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>70</td>\n",
       "      <td>Bengaluru</td>\n",
       "      <td>M Chinnaswamy Stadium, Bengaluru</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>...</td>\n",
       "      <td>field</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Shubman Gill']</td>\n",
       "      <td>1359544</td>\n",
       "      <td>197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>1370350</td>\n",
       "      <td>23-05-2023</td>\n",
       "      <td>2023</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>Qualifier 1</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>MA Chidambaram Stadium, Chepauk, Chennai</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>...</td>\n",
       "      <td>field</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>runs</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['RD Gaikwad']</td>\n",
       "      <td>1370350</td>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1021</th>\n",
       "      <td>1370351</td>\n",
       "      <td>24-05-2023</td>\n",
       "      <td>2023</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>Eliminator</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>MA Chidambaram Stadium, Chepauk, Chennai</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Lucknow Super Giants</td>\n",
       "      <td>...</td>\n",
       "      <td>bat</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>runs</td>\n",
       "      <td>81.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Akash Madhwal']</td>\n",
       "      <td>1370351</td>\n",
       "      <td>182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1022</th>\n",
       "      <td>1370352</td>\n",
       "      <td>26-05-2023</td>\n",
       "      <td>2023</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>Qualifier 2</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>...</td>\n",
       "      <td>field</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>runs</td>\n",
       "      <td>62.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['Shubman Gill']</td>\n",
       "      <td>1370352</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1023</th>\n",
       "      <td>1370353</td>\n",
       "      <td>29-05-2023</td>\n",
       "      <td>2023</td>\n",
       "      <td>Indian Premier League</td>\n",
       "      <td>T20</td>\n",
       "      <td>Final</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>...</td>\n",
       "      <td>field</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>wickets</td>\n",
       "      <td>5.0</td>\n",
       "      <td>D/L</td>\n",
       "      <td>['DP Conway']</td>\n",
       "      <td>1370353</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1024 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id        date   season             event_name match_type  \\\n",
       "0      335982  18-04-2008  2007/08  Indian Premier League        T20   \n",
       "1      335983  19-04-2008  2007/08  Indian Premier League        T20   \n",
       "2      335984  19-04-2008  2007/08  Indian Premier League        T20   \n",
       "3      335986  20-04-2008  2007/08  Indian Premier League        T20   \n",
       "4      335985  20-04-2008  2007/08  Indian Premier League        T20   \n",
       "...       ...         ...      ...                    ...        ...   \n",
       "1019  1359544  21-05-2023     2023  Indian Premier League        T20   \n",
       "1020  1370350  23-05-2023     2023  Indian Premier League        T20   \n",
       "1021  1370351  24-05-2023     2023  Indian Premier League        T20   \n",
       "1022  1370352  26-05-2023     2023  Indian Premier League        T20   \n",
       "1023  1370353  29-05-2023     2023  Indian Premier League        T20   \n",
       "\n",
       "     match_number        city                                       venue  \\\n",
       "0               1   Bangalore                       M Chinnaswamy Stadium   \n",
       "1               2  Chandigarh  Punjab Cricket Association Stadium, Mohali   \n",
       "2               3       Delhi                            Feroz Shah Kotla   \n",
       "3               4     Kolkata                                Eden Gardens   \n",
       "4               5      Mumbai                            Wankhede Stadium   \n",
       "...           ...         ...                                         ...   \n",
       "1019           70   Bengaluru            M Chinnaswamy Stadium, Bengaluru   \n",
       "1020  Qualifier 1     Chennai    MA Chidambaram Stadium, Chepauk, Chennai   \n",
       "1021   Eliminator     Chennai    MA Chidambaram Stadium, Chepauk, Chennai   \n",
       "1022  Qualifier 2   Ahmedabad            Narendra Modi Stadium, Ahmedabad   \n",
       "1023        Final   Ahmedabad            Narendra Modi Stadium, Ahmedabad   \n",
       "\n",
       "                            team1                        team2  ...  \\\n",
       "0     Royal Challengers Bengaluru        Kolkata Knight Riders  ...   \n",
       "1                    Punjab Kings          Chennai Super Kings  ...   \n",
       "2                  Delhi Capitals             Rajasthan Royals  ...   \n",
       "3           Kolkata Knight Riders          Sunrisers Hyderabad  ...   \n",
       "4                  Mumbai Indians  Royal Challengers Bengaluru  ...   \n",
       "...                           ...                          ...  ...   \n",
       "1019  Royal Challengers Bengaluru               Gujarat Titans  ...   \n",
       "1020          Chennai Super Kings               Gujarat Titans  ...   \n",
       "1021               Mumbai Indians         Lucknow Super Giants  ...   \n",
       "1022               Gujarat Titans               Mumbai Indians  ...   \n",
       "1023               Gujarat Titans          Chennai Super Kings  ...   \n",
       "\n",
       "     toss_decision                       winner result eliminator    wonBy  \\\n",
       "0            field        Kolkata Knight Riders    NaN        NaN     runs   \n",
       "1              bat          Chennai Super Kings    NaN        NaN     runs   \n",
       "2              bat               Delhi Capitals    NaN        NaN  wickets   \n",
       "3              bat        Kolkata Knight Riders    NaN        NaN  wickets   \n",
       "4              bat  Royal Challengers Bengaluru    NaN        NaN  wickets   \n",
       "...            ...                          ...    ...        ...      ...   \n",
       "1019         field               Gujarat Titans    NaN        NaN  wickets   \n",
       "1020         field          Chennai Super Kings    NaN        NaN     runs   \n",
       "1021           bat               Mumbai Indians    NaN        NaN     runs   \n",
       "1022         field               Gujarat Titans    NaN        NaN     runs   \n",
       "1023         field          Chennai Super Kings    NaN        NaN  wickets   \n",
       "\n",
       "     margin method    player_of_match match_id total_runs  \n",
       "0     140.0    NaN    ['BB McCullum']   335982        222  \n",
       "1      33.0    NaN     ['MEK Hussey']   335983        240  \n",
       "2       9.0    NaN    ['MF Maharoof']   335984        129  \n",
       "3       5.0    NaN      ['DJ Hussey']   335986        110  \n",
       "4       5.0    NaN     ['MV Boucher']   335985        165  \n",
       "...     ...    ...                ...      ...        ...  \n",
       "1019    6.0    NaN   ['Shubman Gill']  1359544        197  \n",
       "1020   15.0    NaN     ['RD Gaikwad']  1370350        172  \n",
       "1021   81.0    NaN  ['Akash Madhwal']  1370351        182  \n",
       "1022   62.0    NaN   ['Shubman Gill']  1370352        233  \n",
       "1023    5.0    D/L      ['DP Conway']  1370353        214  \n",
       "\n",
       "[1024 rows x 28 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging the 'match_df' dataframe with the original 'match' dataset\n",
    "\n",
    "match_df = match.merge(total_score_df[['match_id','total_runs']], left_on='id', right_on='match_id')\n",
    "match_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f73b1139-2e0e-4d02-86b1-c6b79bcbd41f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                   int64\n",
       "date                object\n",
       "season              object\n",
       "event_name          object\n",
       "match_type          object\n",
       "match_number        object\n",
       "city                object\n",
       "venue               object\n",
       "team1               object\n",
       "team2               object\n",
       "referee             object\n",
       "reserve_umpire      object\n",
       "tv_umpire           object\n",
       "umpire1             object\n",
       "umpire2             object\n",
       "team1players        object\n",
       "team2players        object\n",
       "toss_winner         object\n",
       "toss_decision       object\n",
       "winner              object\n",
       "result              object\n",
       "eliminator          object\n",
       "wonBy               object\n",
       "margin             float64\n",
       "method              object\n",
       "player_of_match     object\n",
       "match_id             int64\n",
       "total_runs           int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "46d110b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Royal Challengers Bengaluru', 'Punjab Kings', 'Delhi Capitals',\n",
       "       'Kolkata Knight Riders', 'Mumbai Indians', 'Rajasthan Royals',\n",
       "       'Sunrisers Hyderabad', 'Chennai Super Kings',\n",
       "       'Kochi Tuskers Kerala', 'Pune Warriors', 'Gujarat Lions',\n",
       "       'Rising Pune Supergiants', 'Rising Pune Supergiant',\n",
       "       'Lucknow Super Giants', 'Gujarat Titans'], dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Various Teams have played in IPL so far.\n",
    "# Therefore, some of the teams must be dropped which are not playing in the current season.\n",
    "\n",
    "match_df['team1'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9f048dbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# These are the teams which are currently playing in IPL.\n",
    "\n",
    "teams = [\n",
    "    'Sunrisers Hyderabad',\n",
    "    'Mumbai Indians',\n",
    "    'Royal Challengers Bengaluru',\n",
    "    'Kolkata Knight Riders',\n",
    "    'Punjab Kings',\n",
    "    'Chennai Super Kings',\n",
    "    'Rajasthan Royals',\n",
    "    'Delhi Capitals',\n",
    "    'Lucknow Super Giants',\n",
    "    'Gujarat Titans'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ec3d2992",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We need to keep the data of those teams only whose name is present in the current teams list.\n",
    "# We have to discard the other teams' data which are not playing.\n",
    "\n",
    "match_df = match_df[match_df['team1'].isin(teams)]\n",
    "match_df = match_df[match_df['team2'].isin(teams)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "456148f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(909, 28)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# As we can see here, there is the data left only for 909 matches. Earlier it were 1024.\n",
    "\n",
    "match_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "82af99c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We will also remove the data of those matches which were affected due to rain.\n",
    "# We will keep the data of those matches only where 'D/L' method wasn't used.\n",
    "\n",
    "match_df = match_df[match_df['method'] != 'D/L']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "87984fbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(892, 28)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# After removing the rain affected matches, we are left with only 892 Matches data.\n",
    "# So far it has gone: 1024 -> 909 -> 892\n",
    "\n",
    "match_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "bb7e68ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "# For the final dataset's POV, we need these four columns.\n",
    "\n",
    "match_df = match_df[['match_id','city','winner','total_runs']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "cfa8b802",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now we are merging 'match_df' data with the 'delivery' dataset\n",
    "\n",
    "delivery_df = match_df.merge(delivery,on='match_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bb9e3301",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We are selecting here the 2nd innings data because our model will predict the probability for the 2nd innings\n",
    "\n",
    "\n",
    "delivery_df = delivery_df[delivery_df['innings'] == 2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ed062c89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103511, 27)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "045b6d1a-a538-4691-9138-12d96680b258",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "match_id              int64\n",
       "city                 object\n",
       "winner               object\n",
       "total_runs_x          int64\n",
       "season               object\n",
       "venue                object\n",
       "batting_team         object\n",
       "bowling_team         object\n",
       "innings               int64\n",
       "over                  int64\n",
       "ball                  int64\n",
       "is_super_over         int64\n",
       "batter               object\n",
       "non_striker          object\n",
       "bowler               object\n",
       "runs_off_bat          int64\n",
       "runs_from_extras      int64\n",
       "total_runs_y          int64\n",
       "is_wkt_delivery       int64\n",
       "player_out           object\n",
       "wkt_type             object\n",
       "fielders_involved    object\n",
       "byes                  int64\n",
       "legbyes               int64\n",
       "wides                 int64\n",
       "noballs               int64\n",
       "penalty               int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3a2aed14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>city</th>\n",
       "      <th>winner</th>\n",
       "      <th>total_runs_x</th>\n",
       "      <th>season</th>\n",
       "      <th>venue</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>innings</th>\n",
       "      <th>over</th>\n",
       "      <th>...</th>\n",
       "      <th>is_wkt_delivery</th>\n",
       "      <th>player_out</th>\n",
       "      <th>wkt_type</th>\n",
       "      <th>fielders_involved</th>\n",
       "      <th>byes</th>\n",
       "      <th>legbyes</th>\n",
       "      <th>wides</th>\n",
       "      <th>noballs</th>\n",
       "      <th>penalty</th>\n",
       "      <th>current_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
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       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213874</th>\n",
       "      <td>1370352</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>233</td>\n",
       "      <td>2023</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213875</th>\n",
       "      <td>1370352</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>233</td>\n",
       "      <td>2023</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213876</th>\n",
       "      <td>1370352</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>233</td>\n",
       "      <td>2023</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213877</th>\n",
       "      <td>1370352</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>233</td>\n",
       "      <td>2023</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213878</th>\n",
       "      <td>1370352</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>233</td>\n",
       "      <td>2023</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>K Kartikeya</td>\n",
       "      <td>caught</td>\n",
       "      <td>DA Miller</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103511 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id       city                 winner  total_runs_x   season  \\\n",
       "124       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "125       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "126       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "127       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "128       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "...          ...        ...                    ...           ...      ...   \n",
       "213874   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213875   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213876   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213877   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213878   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "\n",
       "                                   venue                 batting_team  \\\n",
       "124                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "125                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "126                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "127                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "128                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "...                                  ...                          ...   \n",
       "213874  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213875  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213876  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213877  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213878  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "\n",
       "                 bowling_team  innings  over  ...  is_wkt_delivery  \\\n",
       "124     Kolkata Knight Riders        2     0  ...                0   \n",
       "125     Kolkata Knight Riders        2     0  ...                0   \n",
       "126     Kolkata Knight Riders        2     0  ...                0   \n",
       "127     Kolkata Knight Riders        2     0  ...                0   \n",
       "128     Kolkata Knight Riders        2     0  ...                0   \n",
       "...                       ...      ...   ...  ...              ...   \n",
       "213874         Gujarat Titans        2    17  ...                0   \n",
       "213875         Gujarat Titans        2    17  ...                0   \n",
       "213876         Gujarat Titans        2    17  ...                0   \n",
       "213877         Gujarat Titans        2    18  ...                0   \n",
       "213878         Gujarat Titans        2    18  ...                1   \n",
       "\n",
       "         player_out wkt_type fielders_involved byes  legbyes  wides  noballs  \\\n",
       "124             NaN      NaN               NaN    0        0      0        0   \n",
       "125             NaN      NaN               NaN    0        0      1        0   \n",
       "126             NaN      NaN               NaN    0        0      0        0   \n",
       "127             NaN      NaN               NaN    0        0      0        0   \n",
       "128             NaN      NaN               NaN    0        0      0        0   \n",
       "...             ...      ...               ...  ...      ...    ...      ...   \n",
       "213874          NaN      NaN               NaN    0        0      0        0   \n",
       "213875          NaN      NaN               NaN    0        0      0        0   \n",
       "213876          NaN      NaN               NaN    0        0      0        0   \n",
       "213877          NaN      NaN               NaN    0        0      0        0   \n",
       "213878  K Kartikeya   caught         DA Miller    0        0      0        0   \n",
       "\n",
       "        penalty current_score  \n",
       "124           0             1  \n",
       "125           0             2  \n",
       "126           0             2  \n",
       "127           0             3  \n",
       "128           0             4  \n",
       "...         ...           ...  \n",
       "213874        0           166  \n",
       "213875        0           170  \n",
       "213876        0           170  \n",
       "213877        0           171  \n",
       "213878        0           171  \n",
       "\n",
       "[103511 rows x 28 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We have to create a new column 'current_score' for the 'delivery_df' dataset.\n",
    "# This column will the tell the current score after every delivery in the match.\n",
    "\n",
    "# delivery_df['current_score'] = delivery_df.groupby('match_id').cumsum()['total_runs_y']\n",
    "# delivery_df['current_score'] = delivery_df.groupby(['total_runs_y', 'match_id'])['total_runs_y'].cumsum()\n",
    "delivery_df['current_score'] = delivery_df.groupby('match_id')['total_runs_y'].transform(lambda x: x.cumsum())\n",
    "delivery_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a37ab264",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We have to calculate the 'runs_left' during the chase now.\n",
    "# Here '+1' is added as the target is always 1 run more than the 1st Innings score\n",
    "\n",
    "delivery_df['runs_left'] = delivery_df['total_runs_x'] - delivery_df['current_score'] + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "91142ecc",
   "metadata": {},
   "outputs": [
    {
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       "      <td>233</td>\n",
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       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
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       "      <td>2</td>\n",
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       "</table>\n",
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       "</div>"
      ],
      "text/plain": [
       "        match_id       city                 winner  total_runs_x   season  \\\n",
       "124       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "125       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "126       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "127       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "128       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "...          ...        ...                    ...           ...      ...   \n",
       "213874   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213875   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213876   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213877   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213878   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "\n",
       "                                   venue                 batting_team  \\\n",
       "124                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "125                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "126                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "127                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "128                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "...                                  ...                          ...   \n",
       "213874  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213875  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213876  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213877  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213878  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "\n",
       "                 bowling_team  innings  over  ...  wkt_type  \\\n",
       "124     Kolkata Knight Riders        2     0  ...       NaN   \n",
       "125     Kolkata Knight Riders        2     0  ...       NaN   \n",
       "126     Kolkata Knight Riders        2     0  ...       NaN   \n",
       "127     Kolkata Knight Riders        2     0  ...       NaN   \n",
       "128     Kolkata Knight Riders        2     0  ...       NaN   \n",
       "...                       ...      ...   ...  ...       ...   \n",
       "213874         Gujarat Titans        2    17  ...       NaN   \n",
       "213875         Gujarat Titans        2    17  ...       NaN   \n",
       "213876         Gujarat Titans        2    17  ...       NaN   \n",
       "213877         Gujarat Titans        2    18  ...       NaN   \n",
       "213878         Gujarat Titans        2    18  ...    caught   \n",
       "\n",
       "        fielders_involved byes legbyes wides  noballs  penalty  current_score  \\\n",
       "124                   NaN    0       0     0        0        0              1   \n",
       "125                   NaN    0       0     1        0        0              2   \n",
       "126                   NaN    0       0     0        0        0              2   \n",
       "127                   NaN    0       0     0        0        0              3   \n",
       "128                   NaN    0       0     0        0        0              4   \n",
       "...                   ...  ...     ...   ...      ...      ...            ...   \n",
       "213874                NaN    0       0     0        0        0            166   \n",
       "213875                NaN    0       0     0        0        0            170   \n",
       "213876                NaN    0       0     0        0        0            170   \n",
       "213877                NaN    0       0     0        0        0            171   \n",
       "213878          DA Miller    0       0     0        0        0            171   \n",
       "\n",
       "        runs_left balls_left  \n",
       "124           222        119  \n",
       "125           221        118  \n",
       "126           221        117  \n",
       "127           220        116  \n",
       "128           219        115  \n",
       "...           ...        ...  \n",
       "213874         68         14  \n",
       "213875         64         13  \n",
       "213876         64         12  \n",
       "213877         63         11  \n",
       "213878         63         10  \n",
       "\n",
       "[103511 rows x 30 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
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    }
   ],
   "source": [
    "# Now we need to calculate the 'balls_left' in the chase.\n",
    "\n",
    "delivery_df['balls_left'] = ((20 - (delivery_df['over']+1))*6 + (6 - delivery_df['ball']))\n",
    "delivery_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "5ee97c37",
   "metadata": {},
   "outputs": [
    {
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       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>222</td>\n",
       "      <td>119</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>221</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>221</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>220</td>\n",
       "      <td>116</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>219</td>\n",
       "      <td>115</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     match_id       city                 winner  total_runs_x   season  \\\n",
       "124    335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "125    335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "126    335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "127    335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "128    335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "\n",
       "                     venue                 batting_team  \\\n",
       "124  M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "125  M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "126  M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "127  M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "128  M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "\n",
       "              bowling_team  innings  over  ...  fielders_involved  byes  \\\n",
       "124  Kolkata Knight Riders        2     0  ...                NaN     0   \n",
       "125  Kolkata Knight Riders        2     0  ...                NaN     0   \n",
       "126  Kolkata Knight Riders        2     0  ...                NaN     0   \n",
       "127  Kolkata Knight Riders        2     0  ...                NaN     0   \n",
       "128  Kolkata Knight Riders        2     0  ...                NaN     0   \n",
       "\n",
       "    legbyes wides noballs  penalty  current_score  runs_left  balls_left  \\\n",
       "124       0     0       0        0              1        222         119   \n",
       "125       0     1       0        0              2        221         118   \n",
       "126       0     0       0        0              2        221         117   \n",
       "127       0     0       0        0              3        220         116   \n",
       "128       0     0       0        0              4        219         115   \n",
       "\n",
       "     wickets  \n",
       "124       10  \n",
       "125       10  \n",
       "126       10  \n",
       "127       10  \n",
       "128       10  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery_df['player_out'] = delivery_df['player_out'].fillna(\"0\")\n",
    "delivery_df['player_out'] = delivery_df['player_out'].apply(lambda x:x if x == \"0\" else \"1\")\n",
    "delivery_df['player_out'] = delivery_df['player_out'].astype('int')\n",
    "# wickets = delivery_df.groupby('match_id').cumsum()['player_dismissed'].values\n",
    "# wickets = delivery_df.groupby(['player_out', 'match_id'])['player_out'].cumsum().values\n",
    "wickets = delivery_df.groupby('match_id')['player_out'].transform(lambda x: x.cumsum()).values\n",
    "delivery_df['wickets'] = 10 - wickets\n",
    "delivery_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f9fe60c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "124       6.000000\n",
       "125       6.000000\n",
       "126       4.000000\n",
       "127       4.500000\n",
       "128       4.800000\n",
       "            ...   \n",
       "213874    9.396226\n",
       "213875    9.532710\n",
       "213876    9.444444\n",
       "213877    9.412844\n",
       "213878    9.327273\n",
       "Name: crr, Length: 103511, dtype: float64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculating the current run rate\n",
    "# crr = runs/overs\n",
    "\n",
    "delivery_df['crr'] = delivery_df['current_score'] / ( (delivery_df['over']) + (delivery_df['ball']/6) )\n",
    "delivery_df['crr']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "7d484dea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "124       11.193277\n",
       "125       11.237288\n",
       "126       11.333333\n",
       "127       11.379310\n",
       "128       11.426087\n",
       "            ...    \n",
       "213874    29.142857\n",
       "213875    29.538462\n",
       "213876    32.000000\n",
       "213877    34.363636\n",
       "213878    37.800000\n",
       "Name: rrr, Length: 103511, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculating the required run rate\n",
    "\n",
    "delivery_df['rrr'] = (delivery_df['runs_left'] / delivery_df['balls_left']) * 6\n",
    "delivery_df['rrr']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "83540f7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>city</th>\n",
       "      <th>winner</th>\n",
       "      <th>total_runs_x</th>\n",
       "      <th>season</th>\n",
       "      <th>venue</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>innings</th>\n",
       "      <th>over</th>\n",
       "      <th>...</th>\n",
       "      <th>legbyes</th>\n",
       "      <th>wides</th>\n",
       "      <th>noballs</th>\n",
       "      <th>penalty</th>\n",
       "      <th>current_score</th>\n",
       "      <th>runs_left</th>\n",
       "      <th>balls_left</th>\n",
       "      <th>wickets</th>\n",
       "      <th>crr</th>\n",
       "      <th>rrr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>222</td>\n",
       "      <td>119</td>\n",
       "      <td>10</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>11.193277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>221</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>11.237288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>221</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>11.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>220</td>\n",
       "      <td>116</td>\n",
       "      <td>10</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>11.379310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>335982</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>222</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>219</td>\n",
       "      <td>115</td>\n",
       "      <td>10</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>11.426087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213874</th>\n",
       "      <td>1370352</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>233</td>\n",
       "      <td>2023</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>166</td>\n",
       "      <td>68</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>9.396226</td>\n",
       "      <td>29.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213875</th>\n",
       "      <td>1370352</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>233</td>\n",
       "      <td>2023</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>170</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>9.532710</td>\n",
       "      <td>29.538462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213876</th>\n",
       "      <td>1370352</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>233</td>\n",
       "      <td>2023</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>170</td>\n",
       "      <td>64</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>9.444444</td>\n",
       "      <td>32.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213877</th>\n",
       "      <td>1370352</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>233</td>\n",
       "      <td>2023</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>171</td>\n",
       "      <td>63</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>9.412844</td>\n",
       "      <td>34.363636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213878</th>\n",
       "      <td>1370352</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>233</td>\n",
       "      <td>2023</td>\n",
       "      <td>Narendra Modi Stadium, Ahmedabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>171</td>\n",
       "      <td>63</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>9.327273</td>\n",
       "      <td>37.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103511 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id       city                 winner  total_runs_x   season  \\\n",
       "124       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "125       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "126       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "127       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "128       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "...          ...        ...                    ...           ...      ...   \n",
       "213874   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213875   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213876   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213877   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213878   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "\n",
       "                                   venue                 batting_team  \\\n",
       "124                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "125                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "126                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "127                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "128                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "...                                  ...                          ...   \n",
       "213874  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213875  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213876  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213877  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213878  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "\n",
       "                 bowling_team  innings  over  ...  legbyes  wides noballs  \\\n",
       "124     Kolkata Knight Riders        2     0  ...        0      0       0   \n",
       "125     Kolkata Knight Riders        2     0  ...        0      1       0   \n",
       "126     Kolkata Knight Riders        2     0  ...        0      0       0   \n",
       "127     Kolkata Knight Riders        2     0  ...        0      0       0   \n",
       "128     Kolkata Knight Riders        2     0  ...        0      0       0   \n",
       "...                       ...      ...   ...  ...      ...    ...     ...   \n",
       "213874         Gujarat Titans        2    17  ...        0      0       0   \n",
       "213875         Gujarat Titans        2    17  ...        0      0       0   \n",
       "213876         Gujarat Titans        2    17  ...        0      0       0   \n",
       "213877         Gujarat Titans        2    18  ...        0      0       0   \n",
       "213878         Gujarat Titans        2    18  ...        0      0       0   \n",
       "\n",
       "       penalty current_score  runs_left  balls_left  wickets       crr  \\\n",
       "124          0             1        222         119       10  6.000000   \n",
       "125          0             2        221         118       10  6.000000   \n",
       "126          0             2        221         117       10  4.000000   \n",
       "127          0             3        220         116       10  4.500000   \n",
       "128          0             4        219         115       10  4.800000   \n",
       "...        ...           ...        ...         ...      ...       ...   \n",
       "213874       0           166         68          14        1  9.396226   \n",
       "213875       0           170         64          13        1  9.532710   \n",
       "213876       0           170         64          12        1  9.444444   \n",
       "213877       0           171         63          11        1  9.412844   \n",
       "213878       0           171         63          10        0  9.327273   \n",
       "\n",
       "              rrr  \n",
       "124     11.193277  \n",
       "125     11.237288  \n",
       "126     11.333333  \n",
       "127     11.379310  \n",
       "128     11.426087  \n",
       "...           ...  \n",
       "213874  29.142857  \n",
       "213875  29.538462  \n",
       "213876  32.000000  \n",
       "213877  34.363636  \n",
       "213878  37.800000  \n",
       "\n",
       "[103511 rows x 33 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "730c19d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>233</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>103511 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id       city                 winner  total_runs_x   season  \\\n",
       "124       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "125       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "126       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "127       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "128       335982  Bangalore  Kolkata Knight Riders           222  2007/08   \n",
       "...          ...        ...                    ...           ...      ...   \n",
       "213874   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213875   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213876   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213877   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "213878   1370352  Ahmedabad         Gujarat Titans           233     2023   \n",
       "\n",
       "                                   venue                 batting_team  \\\n",
       "124                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "125                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "126                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "127                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "128                M Chinnaswamy Stadium  Royal Challengers Bengaluru   \n",
       "...                                  ...                          ...   \n",
       "213874  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213875  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213876  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213877  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "213878  Narendra Modi Stadium, Ahmedabad               Mumbai Indians   \n",
       "\n",
       "                 bowling_team  innings  over  ...  wides  noballs penalty  \\\n",
       "124     Kolkata Knight Riders        2     0  ...      0        0       0   \n",
       "125     Kolkata Knight Riders        2     0  ...      1        0       0   \n",
       "126     Kolkata Knight Riders        2     0  ...      0        0       0   \n",
       "127     Kolkata Knight Riders        2     0  ...      0        0       0   \n",
       "128     Kolkata Knight Riders        2     0  ...      0        0       0   \n",
       "...                       ...      ...   ...  ...    ...      ...     ...   \n",
       "213874         Gujarat Titans        2    17  ...      0        0       0   \n",
       "213875         Gujarat Titans        2    17  ...      0        0       0   \n",
       "213876         Gujarat Titans        2    17  ...      0        0       0   \n",
       "213877         Gujarat Titans        2    18  ...      0        0       0   \n",
       "213878         Gujarat Titans        2    18  ...      0        0       0   \n",
       "\n",
       "       current_score runs_left  balls_left  wickets       crr        rrr  \\\n",
       "124                1       222         119       10  6.000000  11.193277   \n",
       "125                2       221         118       10  6.000000  11.237288   \n",
       "126                2       221         117       10  4.000000  11.333333   \n",
       "127                3       220         116       10  4.500000  11.379310   \n",
       "128                4       219         115       10  4.800000  11.426087   \n",
       "...              ...       ...         ...      ...       ...        ...   \n",
       "213874           166        68          14        1  9.396226  29.142857   \n",
       "213875           170        64          13        1  9.532710  29.538462   \n",
       "213876           170        64          12        1  9.444444  32.000000   \n",
       "213877           171        63          11        1  9.412844  34.363636   \n",
       "213878           171        63          10        0  9.327273  37.800000   \n",
       "\n",
       "        result  \n",
       "124          0  \n",
       "125          0  \n",
       "126          0  \n",
       "127          0  \n",
       "128          0  \n",
       "...        ...  \n",
       "213874       0  \n",
       "213875       0  \n",
       "213876       0  \n",
       "213877       0  \n",
       "213878       0  \n",
       "\n",
       "[103511 rows x 34 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Here, we are checking if the chasing team won or not.\n",
    "# If chasing team won, result is 1, else it is 0.\n",
    "\n",
    "def result(row):\n",
    "    return 1 if row['batting_team'] == row['winner'] else 0\n",
    "\n",
    "delivery_df['result'] = delivery_df.apply(result,axis=1)\n",
    "delivery_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2999909b",
   "metadata": {},
   "outputs": [
    {
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       "      <th>total_runs_x</th>\n",
       "      <th>crr</th>\n",
       "      <th>rrr</th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>222</td>\n",
       "      <td>119</td>\n",
       "      <td>10</td>\n",
       "      <td>222</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>11.193277</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>221</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>222</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>11.237288</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>221</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>222</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>11.333333</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>220</td>\n",
       "      <td>116</td>\n",
       "      <td>10</td>\n",
       "      <td>222</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>11.379310</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>219</td>\n",
       "      <td>115</td>\n",
       "      <td>10</td>\n",
       "      <td>222</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>11.426087</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213874</th>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>68</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>233</td>\n",
       "      <td>9.396226</td>\n",
       "      <td>29.142857</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213875</th>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>233</td>\n",
       "      <td>9.532710</td>\n",
       "      <td>29.538462</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213876</th>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>64</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>233</td>\n",
       "      <td>9.444444</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213877</th>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>63</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>233</td>\n",
       "      <td>9.412844</td>\n",
       "      <td>34.363636</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213878</th>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Titans</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>63</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>233</td>\n",
       "      <td>9.327273</td>\n",
       "      <td>37.800000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103511 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       batting_team           bowling_team       city  \\\n",
       "124     Royal Challengers Bengaluru  Kolkata Knight Riders  Bangalore   \n",
       "125     Royal Challengers Bengaluru  Kolkata Knight Riders  Bangalore   \n",
       "126     Royal Challengers Bengaluru  Kolkata Knight Riders  Bangalore   \n",
       "127     Royal Challengers Bengaluru  Kolkata Knight Riders  Bangalore   \n",
       "128     Royal Challengers Bengaluru  Kolkata Knight Riders  Bangalore   \n",
       "...                             ...                    ...        ...   \n",
       "213874               Mumbai Indians         Gujarat Titans  Ahmedabad   \n",
       "213875               Mumbai Indians         Gujarat Titans  Ahmedabad   \n",
       "213876               Mumbai Indians         Gujarat Titans  Ahmedabad   \n",
       "213877               Mumbai Indians         Gujarat Titans  Ahmedabad   \n",
       "213878               Mumbai Indians         Gujarat Titans  Ahmedabad   \n",
       "\n",
       "        runs_left  balls_left  wickets  total_runs_x       crr        rrr  \\\n",
       "124           222         119       10           222  6.000000  11.193277   \n",
       "125           221         118       10           222  6.000000  11.237288   \n",
       "126           221         117       10           222  4.000000  11.333333   \n",
       "127           220         116       10           222  4.500000  11.379310   \n",
       "128           219         115       10           222  4.800000  11.426087   \n",
       "...           ...         ...      ...           ...       ...        ...   \n",
       "213874         68          14        1           233  9.396226  29.142857   \n",
       "213875         64          13        1           233  9.532710  29.538462   \n",
       "213876         64          12        1           233  9.444444  32.000000   \n",
       "213877         63          11        1           233  9.412844  34.363636   \n",
       "213878         63          10        0           233  9.327273  37.800000   \n",
       "\n",
       "        result  \n",
       "124          0  \n",
       "125          0  \n",
       "126          0  \n",
       "127          0  \n",
       "128          0  \n",
       "...        ...  \n",
       "213874       0  \n",
       "213875       0  \n",
       "213876       0  \n",
       "213877       0  \n",
       "213878       0  \n",
       "\n",
       "[103511 rows x 10 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating a final DataFrame with all the required columns.\n",
    "\n",
    "final_df = delivery_df[['batting_team','bowling_team','city','runs_left','balls_left','wickets','total_runs_x','crr','rrr','result']]\n",
    "final_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "fb242ffd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>city</th>\n",
       "      <th>runs_left</th>\n",
       "      <th>balls_left</th>\n",
       "      <th>wickets</th>\n",
       "      <th>total_runs_x</th>\n",
       "      <th>crr</th>\n",
       "      <th>rrr</th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>34686</th>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>161</td>\n",
       "      <td>104</td>\n",
       "      <td>10</td>\n",
       "      <td>184</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>9.288462</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93087</th>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>155</td>\n",
       "      <td>103</td>\n",
       "      <td>10</td>\n",
       "      <td>173</td>\n",
       "      <td>6.705882</td>\n",
       "      <td>9.029126</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161968</th>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>40</td>\n",
       "      <td>9</td>\n",
       "      <td>110</td>\n",
       "      <td>7.650000</td>\n",
       "      <td>1.350000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75001</th>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>117</td>\n",
       "      <td>70</td>\n",
       "      <td>8</td>\n",
       "      <td>170</td>\n",
       "      <td>6.480000</td>\n",
       "      <td>10.028571</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125012</th>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>157</td>\n",
       "      <td>91</td>\n",
       "      <td>8</td>\n",
       "      <td>193</td>\n",
       "      <td>7.655172</td>\n",
       "      <td>10.351648</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90580</th>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>60</td>\n",
       "      <td>55</td>\n",
       "      <td>9</td>\n",
       "      <td>154</td>\n",
       "      <td>8.769231</td>\n",
       "      <td>6.545455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191321</th>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Lucknow Super Giants</td>\n",
       "      <td>Pune</td>\n",
       "      <td>177</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>176</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.076923</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18666</th>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Port Elizabeth</td>\n",
       "      <td>111</td>\n",
       "      <td>93</td>\n",
       "      <td>9</td>\n",
       "      <td>153</td>\n",
       "      <td>9.555556</td>\n",
       "      <td>7.161290</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43535</th>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>61</td>\n",
       "      <td>94</td>\n",
       "      <td>9</td>\n",
       "      <td>81</td>\n",
       "      <td>4.846154</td>\n",
       "      <td>3.893617</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177464</th>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Dubai</td>\n",
       "      <td>128</td>\n",
       "      <td>79</td>\n",
       "      <td>8</td>\n",
       "      <td>164</td>\n",
       "      <td>5.414634</td>\n",
       "      <td>9.721519</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103511 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       batting_team           bowling_team            city  \\\n",
       "34686   Royal Challengers Bengaluru         Delhi Capitals           Delhi   \n",
       "93087           Chennai Super Kings         Mumbai Indians          Mumbai   \n",
       "161968               Mumbai Indians    Sunrisers Hyderabad             NaN   \n",
       "75001         Kolkata Knight Riders         Mumbai Indians          Mumbai   \n",
       "125012          Sunrisers Hyderabad           Punjab Kings      Chandigarh   \n",
       "...                             ...                    ...             ...   \n",
       "90580         Kolkata Knight Riders    Chennai Super Kings         Kolkata   \n",
       "191321        Kolkata Knight Riders   Lucknow Super Giants            Pune   \n",
       "18666                  Punjab Kings  Kolkata Knight Riders  Port Elizabeth   \n",
       "43535         Kolkata Knight Riders       Rajasthan Royals         Kolkata   \n",
       "177464  Royal Challengers Bengaluru    Sunrisers Hyderabad           Dubai   \n",
       "\n",
       "        runs_left  balls_left  wickets  total_runs_x       crr        rrr  \\\n",
       "34686         161         104       10           184  9.000000   9.288462   \n",
       "93087         155         103       10           173  6.705882   9.029126   \n",
       "161968          9          40        9           110  7.650000   1.350000   \n",
       "75001         117          70        8           170  6.480000  10.028571   \n",
       "125012        157          91        8           193  7.655172  10.351648   \n",
       "...           ...         ...      ...           ...       ...        ...   \n",
       "90580          60          55        9           154  8.769231   6.545455   \n",
       "191321        177         117       10           176  0.000000   9.076923   \n",
       "18666         111          93        9           153  9.555556   7.161290   \n",
       "43535          61          94        9            81  4.846154   3.893617   \n",
       "177464        128          79        8           164  5.414634   9.721519   \n",
       "\n",
       "        result  \n",
       "34686        0  \n",
       "93087        1  \n",
       "161968       1  \n",
       "75001        0  \n",
       "125012       0  \n",
       "...        ...  \n",
       "90580        1  \n",
       "191321       0  \n",
       "18666        1  \n",
       "43535        1  \n",
       "177464       1  \n",
       "\n",
       "[103511 rows x 10 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Some bias might be developed as the balls are in continuation of the same match\n",
    "# Therefore we need to shuffle the rows\n",
    "\n",
    "final_df = final_df.sample(final_df.shape[0])\n",
    "final_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "dfec0834",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(97485, 10)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We are dropping the rows which contains any NULL values\n",
    "\n",
    "final_df.dropna(inplace=True)\n",
    "final_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "3dc0b91d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>city</th>\n",
       "      <th>runs_left</th>\n",
       "      <th>balls_left</th>\n",
       "      <th>wickets</th>\n",
       "      <th>total_runs_x</th>\n",
       "      <th>crr</th>\n",
       "      <th>rrr</th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>144881</th>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Jaipur</td>\n",
       "      <td>99</td>\n",
       "      <td>55</td>\n",
       "      <td>8</td>\n",
       "      <td>191</td>\n",
       "      <td>8.584615</td>\n",
       "      <td>10.8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          batting_team      bowling_team    city  runs_left  balls_left  \\\n",
       "144881  Delhi Capitals  Rajasthan Royals  Jaipur         99          55   \n",
       "\n",
       "        wickets  total_runs_x       crr   rrr  result  \n",
       "144881        8           191  8.584615  10.8       1  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.sample()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "09541d8d-fa26-4de5-8b0d-c54c82424800",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "batting_team    0\n",
       "bowling_team    0\n",
       "city            0\n",
       "runs_left       0\n",
       "balls_left      0\n",
       "wickets         0\n",
       "total_runs_x    0\n",
       "crr             0\n",
       "rrr             0\n",
       "result          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# For the final time we are checking if there are any NULL Values.\n",
    "\n",
    "final_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "bafcba9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(97160, 10)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# An error was encountered in 'required run rate' and it was showing infinite values for some rows.\n",
    "# Therefore, in order to resolve this, we are selecting only those rows with non-zero 'balls_left' data\n",
    "\n",
    "final_df = final_df[final_df['balls_left'] != 0]\n",
    "final_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "54edf23b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now we are starting to build the model\n",
    "# Train test split\n",
    "\n",
    "X = final_df.iloc[:,:-1] # All the rows except last column\n",
    "y = final_df.iloc[:,-1] # All the rows with the last column\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.2,random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3aa219a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>city</th>\n",
       "      <th>runs_left</th>\n",
       "      <th>balls_left</th>\n",
       "      <th>wickets</th>\n",
       "      <th>total_runs_x</th>\n",
       "      <th>crr</th>\n",
       "      <th>rrr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>190386</th>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Pune</td>\n",
       "      <td>95</td>\n",
       "      <td>56</td>\n",
       "      <td>7</td>\n",
       "      <td>173</td>\n",
       "      <td>7.406250</td>\n",
       "      <td>10.178571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130182</th>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>60</td>\n",
       "      <td>42</td>\n",
       "      <td>5</td>\n",
       "      <td>146</td>\n",
       "      <td>6.692308</td>\n",
       "      <td>8.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116787</th>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>114</td>\n",
       "      <td>75</td>\n",
       "      <td>7</td>\n",
       "      <td>168</td>\n",
       "      <td>7.333333</td>\n",
       "      <td>9.120000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11014</th>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>57</td>\n",
       "      <td>36</td>\n",
       "      <td>6</td>\n",
       "      <td>176</td>\n",
       "      <td>8.571429</td>\n",
       "      <td>9.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129182</th>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Royal Challengers Bengaluru</td>\n",
       "      <td>Pune</td>\n",
       "      <td>71</td>\n",
       "      <td>74</td>\n",
       "      <td>9</td>\n",
       "      <td>127</td>\n",
       "      <td>7.434783</td>\n",
       "      <td>5.756757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170163</th>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>19</td>\n",
       "      <td>32</td>\n",
       "      <td>9</td>\n",
       "      <td>154</td>\n",
       "      <td>9.272727</td>\n",
       "      <td>3.562500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5187</th>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>125</td>\n",
       "      <td>57</td>\n",
       "      <td>5</td>\n",
       "      <td>178</td>\n",
       "      <td>5.142857</td>\n",
       "      <td>13.157895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68793</th>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Punjab Kings</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>131</td>\n",
       "      <td>94</td>\n",
       "      <td>8</td>\n",
       "      <td>157</td>\n",
       "      <td>6.230769</td>\n",
       "      <td>8.361702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106232</th>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>126</td>\n",
       "      <td>77</td>\n",
       "      <td>8</td>\n",
       "      <td>187</td>\n",
       "      <td>8.651163</td>\n",
       "      <td>9.818182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176334</th>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Sharjah</td>\n",
       "      <td>64</td>\n",
       "      <td>99</td>\n",
       "      <td>9</td>\n",
       "      <td>90</td>\n",
       "      <td>7.714286</td>\n",
       "      <td>3.878788</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>77728 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       batting_team                 bowling_team        city  \\\n",
       "190386          Chennai Super Kings  Royal Challengers Bengaluru        Pune   \n",
       "130182  Royal Challengers Bengaluru          Sunrisers Hyderabad   Hyderabad   \n",
       "116787        Kolkata Knight Riders               Delhi Capitals       Delhi   \n",
       "11014                Delhi Capitals               Mumbai Indians       Delhi   \n",
       "129182          Chennai Super Kings  Royal Challengers Bengaluru        Pune   \n",
       "...                             ...                          ...         ...   \n",
       "170163               Delhi Capitals        Kolkata Knight Riders   Ahmedabad   \n",
       "5187          Kolkata Knight Riders                 Punjab Kings  Chandigarh   \n",
       "68793         Kolkata Knight Riders                 Punjab Kings  Chandigarh   \n",
       "106232          Chennai Super Kings               Mumbai Indians      Mumbai   \n",
       "176334               Mumbai Indians             Rajasthan Royals     Sharjah   \n",
       "\n",
       "        runs_left  balls_left  wickets  total_runs_x       crr        rrr  \n",
       "190386         95          56        7           173  7.406250  10.178571  \n",
       "130182         60          42        5           146  6.692308   8.571429  \n",
       "116787        114          75        7           168  7.333333   9.120000  \n",
       "11014          57          36        6           176  8.571429   9.500000  \n",
       "129182         71          74        9           127  7.434783   5.756757  \n",
       "...           ...         ...      ...           ...       ...        ...  \n",
       "170163         19          32        9           154  9.272727   3.562500  \n",
       "5187          125          57        5           178  5.142857  13.157895  \n",
       "68793         131          94        8           157  6.230769   8.361702  \n",
       "106232        126          77        8           187  8.651163   9.818182  \n",
       "176334         64          99        9            90  7.714286   3.878788  \n",
       "\n",
       "[77728 rows x 9 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "9e41c1ea-376b-408a-b5c8-c1ce897c4914",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>runs_left</th>\n",
       "      <th>balls_left</th>\n",
       "      <th>wickets</th>\n",
       "      <th>total_runs_x</th>\n",
       "      <th>crr</th>\n",
       "      <th>rrr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>77728.000000</td>\n",
       "      <td>77728.000000</td>\n",
       "      <td>77728.000000</td>\n",
       "      <td>77728.000000</td>\n",
       "      <td>77728.000000</td>\n",
       "      <td>77728.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>93.670775</td>\n",
       "      <td>62.529642</td>\n",
       "      <td>7.525152</td>\n",
       "      <td>166.656083</td>\n",
       "      <td>7.482409</td>\n",
       "      <td>10.707554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>50.248061</td>\n",
       "      <td>33.313077</td>\n",
       "      <td>2.147694</td>\n",
       "      <td>29.387098</td>\n",
       "      <td>2.272190</td>\n",
       "      <td>14.508060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-5.000000</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-516.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>54.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>148.000000</td>\n",
       "      <td>6.320000</td>\n",
       "      <td>7.304348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>93.000000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>7.538462</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>131.000000</td>\n",
       "      <td>91.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>8.727273</td>\n",
       "      <td>11.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>258.000000</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>257.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>588.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          runs_left    balls_left       wickets  total_runs_x           crr  \\\n",
       "count  77728.000000  77728.000000  77728.000000  77728.000000  77728.000000   \n",
       "mean      93.670775     62.529642      7.525152    166.656083      7.482409   \n",
       "std       50.248061     33.313077      2.147694     29.387098      2.272190   \n",
       "min       -5.000000     -2.000000      0.000000     62.000000      0.000000   \n",
       "25%       54.000000     34.000000      6.000000    148.000000      6.320000   \n",
       "50%       93.000000     63.000000      8.000000    166.000000      7.538462   \n",
       "75%      131.000000     91.000000      9.000000    187.000000      8.727273   \n",
       "max      258.000000    119.000000     10.000000    257.000000     36.000000   \n",
       "\n",
       "                rrr  \n",
       "count  77728.000000  \n",
       "mean      10.707554  \n",
       "std       14.508060  \n",
       "min     -516.000000  \n",
       "25%        7.304348  \n",
       "50%        9.000000  \n",
       "75%       11.142857  \n",
       "max      588.000000  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "45c6fffa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Our first 3 columns in above dataframe are string and that would create problem\n",
    "# Therefore we are applying One Hot encoding over it\n",
    "\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "trf = ColumnTransformer([\n",
    "    ('trf',OneHotEncoder(sparse_output=False,drop='first'),['batting_team','bowling_team','city'])\n",
    "]\n",
    ",remainder='passthrough')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "9be108ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.pipeline import Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "92dfbfcb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# This is the code to train the model with Logistic Regression\n",
    "\n",
    "pipe = Pipeline(steps=[\n",
    "    ('step1',trf),\n",
    "    ('step2',LogisticRegression(solver='liblinear'))\n",
    "])\n",
    "\n",
    "# This is the code to train the model with Random Forest Classifier \n",
    "\n",
    "# pipe = Pipeline(steps=[\n",
    "#     ('step1',trf),\n",
    "#     ('step2', RandomForestClassifier())\n",
    "# ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "12679868",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;step1&#x27;,\n",
       "                 ColumnTransformer(remainder=&#x27;passthrough&#x27;,\n",
       "                                   transformers=[(&#x27;trf&#x27;,\n",
       "                                                  OneHotEncoder(drop=&#x27;first&#x27;,\n",
       "                                                                sparse_output=False),\n",
       "                                                  [&#x27;batting_team&#x27;,\n",
       "                                                   &#x27;bowling_team&#x27;, &#x27;city&#x27;])])),\n",
       "                (&#x27;step2&#x27;, LogisticRegression(solver=&#x27;liblinear&#x27;))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;Pipeline<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>Pipeline(steps=[(&#x27;step1&#x27;,\n",
       "                 ColumnTransformer(remainder=&#x27;passthrough&#x27;,\n",
       "                                   transformers=[(&#x27;trf&#x27;,\n",
       "                                                  OneHotEncoder(drop=&#x27;first&#x27;,\n",
       "                                                                sparse_output=False),\n",
       "                                                  [&#x27;batting_team&#x27;,\n",
       "                                                   &#x27;bowling_team&#x27;, &#x27;city&#x27;])])),\n",
       "                (&#x27;step2&#x27;, LogisticRegression(solver=&#x27;liblinear&#x27;))])</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;step1: ColumnTransformer<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for step1: ColumnTransformer</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>ColumnTransformer(remainder=&#x27;passthrough&#x27;,\n",
       "                  transformers=[(&#x27;trf&#x27;,\n",
       "                                 OneHotEncoder(drop=&#x27;first&#x27;,\n",
       "                                               sparse_output=False),\n",
       "                                 [&#x27;batting_team&#x27;, &#x27;bowling_team&#x27;, &#x27;city&#x27;])])</pre></div> </div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">trf</label><div class=\"sk-toggleable__content fitted\"><pre>[&#x27;batting_team&#x27;, &#x27;bowling_team&#x27;, &#x27;city&#x27;]</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;OneHotEncoder<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.preprocessing.OneHotEncoder.html\">?<span>Documentation for OneHotEncoder</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>OneHotEncoder(drop=&#x27;first&#x27;, sparse_output=False)</pre></div> </div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">remainder</label><div class=\"sk-toggleable__content fitted\"><pre>[&#x27;runs_left&#x27;, &#x27;balls_left&#x27;, &#x27;wickets&#x27;, &#x27;total_runs_x&#x27;, &#x27;crr&#x27;, &#x27;rrr&#x27;]</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">passthrough</label><div class=\"sk-toggleable__content fitted\"><pre>passthrough</pre></div> </div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression(solver=&#x27;liblinear&#x27;)</pre></div> </div></div></div></div></div></div>"
      ],
      "text/plain": [
       "Pipeline(steps=[('step1',\n",
       "                 ColumnTransformer(remainder='passthrough',\n",
       "                                   transformers=[('trf',\n",
       "                                                  OneHotEncoder(drop='first',\n",
       "                                                                sparse_output=False),\n",
       "                                                  ['batting_team',\n",
       "                                                   'bowling_team', 'city'])])),\n",
       "                ('step2', LogisticRegression(solver='liblinear'))])"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipe.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "cf3fde3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = pipe.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "b43ea121",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8048065047344586"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Our model is giving an accuracy of 80.38% with Logistic Regression\n",
    "# Logistic Regression internally uses sigmoid function and that would tell the probability of win for both team\n",
    "\n",
    "from sklearn.metrics import accuracy_score\n",
    "accuracy_score(y_test,y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "01205f46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.98894755, 0.01105245])"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Predicting the probability of both teams\n",
    "\n",
    "pipe.predict_proba(X_test)[10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "41c62b45",
   "metadata": {},
   "outputs": [],
   "source": [
    "# This function will help you to create a dataframe for the 2nd innings of a particular team \n",
    "\n",
    "def match_progression(x_df,match_id,pipe):\n",
    "    match = x_df[x_df['match_id'] == match_id]\n",
    "    match = match[(match['ball'] == 6)]\n",
    "    temp_df = match[['batting_team','bowling_team','city','runs_left','balls_left','wickets','total_runs_x','crr','rrr']].dropna()\n",
    "    temp_df = temp_df[temp_df['balls_left'] != 0]\n",
    "    result = pipe.predict_proba(temp_df)\n",
    "    temp_df['lose'] = np.round(result.T[0]*100,1)\n",
    "    temp_df['win'] = np.round(result.T[1]*100,1)\n",
    "    temp_df['end_of_over'] = range(1,temp_df.shape[0]+1)\n",
    "    \n",
    "    target = temp_df['total_runs_x'].values[0]\n",
    "    runs = list(temp_df['runs_left'].values)\n",
    "    new_runs = runs[:]\n",
    "    runs.insert(0,target)\n",
    "    temp_df['runs_after_over'] = np.array(runs)[:-1] - np.array(new_runs)\n",
    "    wickets = list(temp_df['wickets'].values)\n",
    "    new_wickets = wickets[:]\n",
    "    new_wickets.insert(0,10)\n",
    "    wickets.append(0)\n",
    "    w = np.array(wickets)\n",
    "    nw = np.array(new_wickets)\n",
    "    temp_df['wickets_in_over'] = (nw - w)[0:temp_df.shape[0]]\n",
    "    \n",
    "    print(\"Target-\",target)\n",
    "    temp_df = temp_df[['end_of_over','runs_after_over','wickets_in_over','lose','win']]\n",
    "    return temp_df,target\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "d3238e65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Target- 214\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>end_of_over</th>\n",
       "      <th>runs_after_over</th>\n",
       "      <th>wickets_in_over</th>\n",
       "      <th>lose</th>\n",
       "      <th>win</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>87.9</td>\n",
       "      <td>12.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>84.7</td>\n",
       "      <td>15.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>91.2</td>\n",
       "      <td>8.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2028</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>87.1</td>\n",
       "      <td>12.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2035</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>64.3</td>\n",
       "      <td>35.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2041</th>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>48.3</td>\n",
       "      <td>51.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2047</th>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>43.2</td>\n",
       "      <td>56.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2053</th>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>28.3</td>\n",
       "      <td>71.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2059</th>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>79.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2065</th>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>34.8</td>\n",
       "      <td>65.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2071</th>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>32.8</td>\n",
       "      <td>67.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2077</th>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>48.1</td>\n",
       "      <td>51.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2083</th>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>44.4</td>\n",
       "      <td>55.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2089</th>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>45.8</td>\n",
       "      <td>54.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2095</th>\n",
       "      <td>15</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>25.2</td>\n",
       "      <td>74.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2101</th>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>13.8</td>\n",
       "      <td>86.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2107</th>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>89.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2113</th>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>35.4</td>\n",
       "      <td>64.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2120</th>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>62.7</td>\n",
       "      <td>37.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      end_of_over  runs_after_over  wickets_in_over  lose   win\n",
       "2010            1                4                0  87.9  12.1\n",
       "2016            2                9                0  84.7  15.3\n",
       "2022            3                5                1  91.2   8.8\n",
       "2028            4               12                0  87.1  12.9\n",
       "2035            5               26                0  64.3  35.7\n",
       "2041            6               16                0  48.3  51.7\n",
       "2047            7                9                0  43.2  56.8\n",
       "2053            8               16                0  28.3  71.7\n",
       "2059            9               12                0  21.0  79.0\n",
       "2065           10                4                1  34.8  65.2\n",
       "2071           11                7                0  32.8  67.2\n",
       "2077           12                5                1  48.1  51.9\n",
       "2083           13                8                0  44.4  55.6\n",
       "2089           14                5                0  45.8  54.2\n",
       "2095           15               20                0  25.2  74.8\n",
       "2101           16               17                0  13.8  86.2\n",
       "2107           17               10                0  10.8  89.2\n",
       "2113           18                2                2  35.4  64.6\n",
       "2120           19                9                2  62.7  37.3"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Over by over probability percentage of win and lose of Match ID: 335990\n",
    "\n",
    "temp_df,target = match_progression(delivery_df,335990,pipe)\n",
    "temp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "256b9c2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Target-214')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(18,8))\n",
    "plt.plot(temp_df['end_of_over'],temp_df['wickets_in_over'],color='yellow',linewidth=3)\n",
    "plt.plot(temp_df['end_of_over'],temp_df['win'],color='#00a65a',linewidth=4)\n",
    "plt.plot(temp_df['end_of_over'],temp_df['lose'],color='red',linewidth=4)\n",
    "plt.bar(temp_df['end_of_over'],temp_df['runs_after_over'])\n",
    "plt.legend(['Wickets in the over', 'Win Probability', 'Losing Probability', 'Runs scored in the Over'])\n",
    "# plt.legend('Runs scored in the Over')\n",
    "plt.title('Target-' + str(target))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "5731378e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Sunrisers Hyderabad',\n",
       " 'Mumbai Indians',\n",
       " 'Royal Challengers Bengaluru',\n",
       " 'Kolkata Knight Riders',\n",
       " 'Punjab Kings',\n",
       " 'Chennai Super Kings',\n",
       " 'Rajasthan Royals',\n",
       " 'Delhi Capitals',\n",
       " 'Lucknow Super Giants',\n",
       " 'Gujarat Titans']"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "teams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "fb7e305d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Bangalore', 'Chandigarh', 'Delhi', 'Kolkata', 'Mumbai', 'Jaipur',\n",
       "       'Hyderabad', 'Chennai', 'Cape Town', 'Port Elizabeth', 'Durban',\n",
       "       'Centurion', 'East London', 'Johannesburg', 'Kimberley',\n",
       "       'Bloemfontein', 'Ahmedabad', 'Cuttack', 'Nagpur', 'Dharamsala',\n",
       "       'Visakhapatnam', 'Pune', 'Raipur', 'Ranchi', 'Abu Dhabi', nan,\n",
       "       'Bengaluru', 'Indore', 'Dubai', 'Sharjah', 'Navi Mumbai',\n",
       "       'Lucknow', 'Guwahati'], dtype=object)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery_df['city'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "99e08b54",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Pipe object\n",
    "\n",
    "import pickle\n",
    "pickle.dump(pipe,open('pipe.pkl','wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c29aea7e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}