big5_2019_2020_review.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A Year of Football - Review of the top 5 leagues of football."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This analysis is an attempt  to understand the 2019/20 in numbers and see which players performed well. This could be used to suggest players that could be bought by different clubs (especially, Manchester United as i support them) . The data is obtained from fbRef.com. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from sklearn.manifold import TSNE\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import time\n",
    "from sklearn.cluster import KMeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"./data/big5_full_stats.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Index(['player', 'nationality', 'position', 'squad', 'comp_level', 'age',\n",
       "        'birth_year', 'games', 'playing_games_starts', 'playing_minutes',\n",
       "        ...\n",
       "        'dribbles_players_dribbled_past', 'dribbles_nutmegs', 'carries_carries',\n",
       "        'carries_carry_distance', 'carries_carry_progressive_distance',\n",
       "        'receiving_pass_targets', 'receiving_passes_received',\n",
       "        'receiving_passes_received_pct', 'miscontrols', 'dispossessed'],\n",
       "       dtype='object', length=145)]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.iloc[0].axes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Number of Players in each league"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Serie A           580\n",
       "La Liga           570\n",
       "Ligue 1           542\n",
       "Premier League    522\n",
       "Bundesliga        498\n",
       "Name: comp_level, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.comp_level.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Number of Players in each position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DF       871\n",
       "MF       592\n",
       "MF,FW    492\n",
       "FW       385\n",
       "GK       199\n",
       "DF,MF    132\n",
       "DF,FW     41\n",
       "Name: position, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.position.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>player</th>\n",
       "      <th>nationality</th>\n",
       "      <th>position</th>\n",
       "      <th>squad</th>\n",
       "      <th>comp_level</th>\n",
       "      <th>age</th>\n",
       "      <th>birth_year</th>\n",
       "      <th>games</th>\n",
       "      <th>playing_games_starts</th>\n",
       "      <th>playing_minutes</th>\n",
       "      <th>...</th>\n",
       "      <th>dribbles_players_dribbled_past</th>\n",
       "      <th>dribbles_nutmegs</th>\n",
       "      <th>carries_carries</th>\n",
       "      <th>carries_carry_distance</th>\n",
       "      <th>carries_carry_progressive_distance</th>\n",
       "      <th>receiving_pass_targets</th>\n",
       "      <th>receiving_passes_received</th>\n",
       "      <th>receiving_passes_received_pct</th>\n",
       "      <th>miscontrols</th>\n",
       "      <th>dispossessed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Kevin Agudelo</td>\n",
       "      <td>COL</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Fiorentina</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>66.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>Youcef Attal</td>\n",
       "      <td>ALG</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Nice</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>1,003</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>556.0</td>\n",
       "      <td>4743.0</td>\n",
       "      <td>3389.0</td>\n",
       "      <td>621.0</td>\n",
       "      <td>512.0</td>\n",
       "      <td>82.4</td>\n",
       "      <td>38.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>Karim Bellarabi</td>\n",
       "      <td>GER</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Leverkusen</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>26</td>\n",
       "      <td>17</td>\n",
       "      <td>1,424</td>\n",
       "      <td>...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>763.0</td>\n",
       "      <td>5866.0</td>\n",
       "      <td>3898.0</td>\n",
       "      <td>881.0</td>\n",
       "      <td>713.0</td>\n",
       "      <td>80.9</td>\n",
       "      <td>27.0</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>Denis Bouanga</td>\n",
       "      <td>GAB</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Saint-Étienne</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>26</td>\n",
       "      <td>23</td>\n",
       "      <td>2,042</td>\n",
       "      <td>...</td>\n",
       "      <td>73.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>748.0</td>\n",
       "      <td>6073.0</td>\n",
       "      <td>3860.0</td>\n",
       "      <td>1015.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>Federico Chiesa</td>\n",
       "      <td>ITA</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Fiorentina</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>32</td>\n",
       "      <td>29</td>\n",
       "      <td>2,458</td>\n",
       "      <td>...</td>\n",
       "      <td>57.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>858.0</td>\n",
       "      <td>6655.0</td>\n",
       "      <td>4432.0</td>\n",
       "      <td>1163.0</td>\n",
       "      <td>792.0</td>\n",
       "      <td>68.1</td>\n",
       "      <td>52.0</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>Ibrahim Cissé</td>\n",
       "      <td>CIV</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Nice</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>286.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>Maxwel Cornet</td>\n",
       "      <td>CIV</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Lyon</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>22</td>\n",
       "      <td>14</td>\n",
       "      <td>1,330</td>\n",
       "      <td>...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587.0</td>\n",
       "      <td>3895.0</td>\n",
       "      <td>2462.0</td>\n",
       "      <td>721.0</td>\n",
       "      <td>570.0</td>\n",
       "      <td>79.1</td>\n",
       "      <td>25.0</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>Juan Cuadrado</td>\n",
       "      <td>COL</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1988.0</td>\n",
       "      <td>32</td>\n",
       "      <td>27</td>\n",
       "      <td>2,564</td>\n",
       "      <td>...</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1785.0</td>\n",
       "      <td>10029.0</td>\n",
       "      <td>7017.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>1885.0</td>\n",
       "      <td>93.6</td>\n",
       "      <td>22.0</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>813</th>\n",
       "      <td>Ansu Fati</td>\n",
       "      <td>ESP</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "      <td>1,027</td>\n",
       "      <td>...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>590.0</td>\n",
       "      <td>4224.0</td>\n",
       "      <td>2860.0</td>\n",
       "      <td>702.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>85.5</td>\n",
       "      <td>34.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>852</th>\n",
       "      <td>Alessandro Florenzi</td>\n",
       "      <td>ITA</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Roma</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1991.0</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>997</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>3065.0</td>\n",
       "      <td>1915.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>510.0</td>\n",
       "      <td>91.4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1041</th>\n",
       "      <td>Achraf Hakimi</td>\n",
       "      <td>MAR</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Dortmund</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>33</td>\n",
       "      <td>29</td>\n",
       "      <td>2,715</td>\n",
       "      <td>...</td>\n",
       "      <td>73.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2071.0</td>\n",
       "      <td>11588.0</td>\n",
       "      <td>7447.0</td>\n",
       "      <td>2341.0</td>\n",
       "      <td>2071.0</td>\n",
       "      <td>88.5</td>\n",
       "      <td>53.0</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1103</th>\n",
       "      <td>Franck Honorat</td>\n",
       "      <td>FRA</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Saint-Étienne</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>849</td>\n",
       "      <td>...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>1532.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>77.4</td>\n",
       "      <td>16.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1165</th>\n",
       "      <td>Ismail Jakobs</td>\n",
       "      <td>GER</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Köln</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>1,672</td>\n",
       "      <td>...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>472.0</td>\n",
       "      <td>2657.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>677.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>70.9</td>\n",
       "      <td>48.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1226</th>\n",
       "      <td>Samuel Kalu</td>\n",
       "      <td>NGA</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Bordeaux</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>1,357</td>\n",
       "      <td>...</td>\n",
       "      <td>58.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>616.0</td>\n",
       "      <td>4329.0</td>\n",
       "      <td>2786.0</td>\n",
       "      <td>699.0</td>\n",
       "      <td>552.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230</th>\n",
       "      <td>Hassane Kamara</td>\n",
       "      <td>GAM</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Reims</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>1,709</td>\n",
       "      <td>...</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>917.0</td>\n",
       "      <td>6707.0</td>\n",
       "      <td>3946.0</td>\n",
       "      <td>946.0</td>\n",
       "      <td>847.0</td>\n",
       "      <td>89.5</td>\n",
       "      <td>26.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>İsmail Köybaşı</td>\n",
       "      <td>TUR</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Granada</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>231</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>358.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>72.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1376</th>\n",
       "      <td>Mathew Leckie</td>\n",
       "      <td>AUS</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Hertha BSC</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1991.0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>195</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>429.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>74.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1385</th>\n",
       "      <td>Iñigo Lekue</td>\n",
       "      <td>ESP</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Athletic Club</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1993.0</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>623</td>\n",
       "      <td>...</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>1822.0</td>\n",
       "      <td>1144.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>79.3</td>\n",
       "      <td>15.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1410</th>\n",
       "      <td>Lucas Lima</td>\n",
       "      <td>BRA</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Nantes</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1991.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>270</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>826.0</td>\n",
       "      <td>511.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>87.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1529</th>\n",
       "      <td>Solly March</td>\n",
       "      <td>ENG</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Brighton</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>1,143</td>\n",
       "      <td>...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>518.0</td>\n",
       "      <td>3774.0</td>\n",
       "      <td>2173.0</td>\n",
       "      <td>585.0</td>\n",
       "      <td>484.0</td>\n",
       "      <td>82.7</td>\n",
       "      <td>12.0</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1531</th>\n",
       "      <td>Óscar de Marcos</td>\n",
       "      <td>ESP</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Athletic Club</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>541</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>935.0</td>\n",
       "      <td>502.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>75.6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1565</th>\n",
       "      <td>Gelson Martins</td>\n",
       "      <td>POR</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Monaco</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>21</td>\n",
       "      <td>20</td>\n",
       "      <td>1,674</td>\n",
       "      <td>...</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>827.0</td>\n",
       "      <td>7141.0</td>\n",
       "      <td>4443.0</td>\n",
       "      <td>898.0</td>\n",
       "      <td>704.0</td>\n",
       "      <td>78.4</td>\n",
       "      <td>31.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1666</th>\n",
       "      <td>Maximilian Mittelstädt</td>\n",
       "      <td>GER</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Hertha BSC</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>26</td>\n",
       "      <td>19</td>\n",
       "      <td>1,887</td>\n",
       "      <td>...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>811.0</td>\n",
       "      <td>4509.0</td>\n",
       "      <td>2575.0</td>\n",
       "      <td>884.0</td>\n",
       "      <td>758.0</td>\n",
       "      <td>85.7</td>\n",
       "      <td>24.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1694</th>\n",
       "      <td>Mateu Morey</td>\n",
       "      <td>ESP</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Dortmund</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>19.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>197</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>877.0</td>\n",
       "      <td>585.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>96.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1710</th>\n",
       "      <td>Samuel Moutoussamy</td>\n",
       "      <td>COD</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Nantes</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>523</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>272.0</td>\n",
       "      <td>1575.0</td>\n",
       "      <td>876.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>266.0</td>\n",
       "      <td>86.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1956</th>\n",
       "      <td>Rayan Philippe</td>\n",
       "      <td>FRA</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Dijon</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>62.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1966</th>\n",
       "      <td>Brandon Pierrick</td>\n",
       "      <td>ENG</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>72.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>Ignacio Pussetto</td>\n",
       "      <td>ARG</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Udinese</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>341</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>959.0</td>\n",
       "      <td>633.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>68.8</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>Ignacio Pussetto</td>\n",
       "      <td>ARG</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Watford</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>75.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2095</th>\n",
       "      <td>Renaud Ripart</td>\n",
       "      <td>FRA</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Nîmes</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1993.0</td>\n",
       "      <td>24</td>\n",
       "      <td>23</td>\n",
       "      <td>2,027</td>\n",
       "      <td>...</td>\n",
       "      <td>29.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>577.0</td>\n",
       "      <td>3323.0</td>\n",
       "      <td>1609.0</td>\n",
       "      <td>1018.0</td>\n",
       "      <td>616.0</td>\n",
       "      <td>60.5</td>\n",
       "      <td>59.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2164</th>\n",
       "      <td>Aitor Ruibal</td>\n",
       "      <td>ESP</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Leganés</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>1,220</td>\n",
       "      <td>...</td>\n",
       "      <td>37.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>2646.0</td>\n",
       "      <td>1811.0</td>\n",
       "      <td>501.0</td>\n",
       "      <td>377.0</td>\n",
       "      <td>75.2</td>\n",
       "      <td>22.0</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2180</th>\n",
       "      <td>Jorge Sáenz</td>\n",
       "      <td>ESP</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Celta Vigo</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>371</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>557.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>98.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2184</th>\n",
       "      <td>Théo Sainte-Luce</td>\n",
       "      <td>FRA</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Nîmes</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2187</th>\n",
       "      <td>Bukayo Saka</td>\n",
       "      <td>ENG</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>26</td>\n",
       "      <td>19</td>\n",
       "      <td>1,753</td>\n",
       "      <td>...</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>726.0</td>\n",
       "      <td>4770.0</td>\n",
       "      <td>3010.0</td>\n",
       "      <td>835.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>83.4</td>\n",
       "      <td>32.0</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2234</th>\n",
       "      <td>Ivan Šaponjić</td>\n",
       "      <td>SRB</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Atlético Madrid</td>\n",
       "      <td>La Liga</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>33.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2238</th>\n",
       "      <td>Bouna Sarr</td>\n",
       "      <td>GUI</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Marseille</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1992.0</td>\n",
       "      <td>27</td>\n",
       "      <td>25</td>\n",
       "      <td>2,164</td>\n",
       "      <td>...</td>\n",
       "      <td>56.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1143.0</td>\n",
       "      <td>7789.0</td>\n",
       "      <td>4379.0</td>\n",
       "      <td>1278.0</td>\n",
       "      <td>1071.0</td>\n",
       "      <td>83.8</td>\n",
       "      <td>37.0</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2326</th>\n",
       "      <td>Robert Skov</td>\n",
       "      <td>DEN</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Hoffenheim</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>31</td>\n",
       "      <td>29</td>\n",
       "      <td>2,608</td>\n",
       "      <td>...</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1025.0</td>\n",
       "      <td>6603.0</td>\n",
       "      <td>4374.0</td>\n",
       "      <td>1209.0</td>\n",
       "      <td>1048.0</td>\n",
       "      <td>86.7</td>\n",
       "      <td>50.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2355</th>\n",
       "      <td>Riccardo Sottil</td>\n",
       "      <td>ITA</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Fiorentina</td>\n",
       "      <td>Serie A</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>489</td>\n",
       "      <td>...</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>1903.0</td>\n",
       "      <td>1069.0</td>\n",
       "      <td>286.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>77.6</td>\n",
       "      <td>14.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2368</th>\n",
       "      <td>Bassem Srarfi</td>\n",
       "      <td>TUN</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Nice</td>\n",
       "      <td>Ligue 1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>133</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>224.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>81.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2463</th>\n",
       "      <td>Erik Thommy</td>\n",
       "      <td>GER</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Düsseldorf</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>34</td>\n",
       "      <td>25</td>\n",
       "      <td>2,259</td>\n",
       "      <td>...</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>888.0</td>\n",
       "      <td>6983.0</td>\n",
       "      <td>4403.0</td>\n",
       "      <td>1060.0</td>\n",
       "      <td>816.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2704</th>\n",
       "      <td>Steven Zuber</td>\n",
       "      <td>SUI</td>\n",
       "      <td>DF,FW</td>\n",
       "      <td>Hoffenheim</td>\n",
       "      <td>Bundesliga</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1991.0</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>749</td>\n",
       "      <td>...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>313.0</td>\n",
       "      <td>1743.0</td>\n",
       "      <td>990.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>90.9</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>41 rows × 145 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      player nationality position            squad  \\\n",
       "23             Kevin Agudelo         COL    DF,FW       Fiorentina   \n",
       "135             Youcef Attal         ALG    DF,FW             Nice   \n",
       "238          Karim Bellarabi         GER    DF,FW       Leverkusen   \n",
       "335            Denis Bouanga         GAB    DF,FW    Saint-Étienne   \n",
       "501          Federico Chiesa         ITA    DF,FW       Fiorentina   \n",
       "517            Ibrahim Cissé         CIV    DF,FW             Nice   \n",
       "556            Maxwel Cornet         CIV    DF,FW             Lyon   \n",
       "583            Juan Cuadrado         COL    DF,FW         Juventus   \n",
       "813                Ansu Fati         ESP    DF,FW        Barcelona   \n",
       "852      Alessandro Florenzi         ITA    DF,FW             Roma   \n",
       "1041           Achraf Hakimi         MAR    DF,FW         Dortmund   \n",
       "1103          Franck Honorat         FRA    DF,FW    Saint-Étienne   \n",
       "1165           Ismail Jakobs         GER    DF,FW             Köln   \n",
       "1226             Samuel Kalu         NGA    DF,FW         Bordeaux   \n",
       "1230          Hassane Kamara         GAM    DF,FW            Reims   \n",
       "1307          İsmail Köybaşı         TUR    DF,FW          Granada   \n",
       "1376           Mathew Leckie         AUS    DF,FW       Hertha BSC   \n",
       "1385             Iñigo Lekue         ESP    DF,FW    Athletic Club   \n",
       "1410              Lucas Lima         BRA    DF,FW           Nantes   \n",
       "1529             Solly March         ENG    DF,FW         Brighton   \n",
       "1531         Óscar de Marcos         ESP    DF,FW    Athletic Club   \n",
       "1565          Gelson Martins         POR    DF,FW           Monaco   \n",
       "1666  Maximilian Mittelstädt         GER    DF,FW       Hertha BSC   \n",
       "1694             Mateu Morey         ESP    DF,FW         Dortmund   \n",
       "1710      Samuel Moutoussamy         COD    DF,FW           Nantes   \n",
       "1956          Rayan Philippe         FRA    DF,FW            Dijon   \n",
       "1966        Brandon Pierrick         ENG    DF,FW   Crystal Palace   \n",
       "2017        Ignacio Pussetto         ARG    DF,FW          Udinese   \n",
       "2018        Ignacio Pussetto         ARG    DF,FW          Watford   \n",
       "2095           Renaud Ripart         FRA    DF,FW            Nîmes   \n",
       "2164            Aitor Ruibal         ESP    DF,FW          Leganés   \n",
       "2180             Jorge Sáenz         ESP    DF,FW       Celta Vigo   \n",
       "2184        Théo Sainte-Luce         FRA    DF,FW            Nîmes   \n",
       "2187             Bukayo Saka         ENG    DF,FW          Arsenal   \n",
       "2234           Ivan Šaponjić         SRB    DF,FW  Atlético Madrid   \n",
       "2238              Bouna Sarr         GUI    DF,FW        Marseille   \n",
       "2326             Robert Skov         DEN    DF,FW       Hoffenheim   \n",
       "2355         Riccardo Sottil         ITA    DF,FW       Fiorentina   \n",
       "2368           Bassem Srarfi         TUN    DF,FW             Nice   \n",
       "2463             Erik Thommy         GER    DF,FW       Düsseldorf   \n",
       "2704            Steven Zuber         SUI    DF,FW       Hoffenheim   \n",
       "\n",
       "          comp_level   age  birth_year  games  playing_games_starts  \\\n",
       "23           Serie A  20.0      1998.0      2                     0   \n",
       "135          Ligue 1  23.0      1996.0     13                    12   \n",
       "238       Bundesliga  29.0      1990.0     26                    17   \n",
       "335          Ligue 1  24.0      1994.0     26                    23   \n",
       "501          Serie A  21.0      1997.0     32                    29   \n",
       "517          Ligue 1  20.0      1999.0      2                     0   \n",
       "556          Ligue 1  22.0      1996.0     22                    14   \n",
       "583          Serie A  31.0      1988.0     32                    27   \n",
       "813          La Liga  16.0      2002.0     24                    11   \n",
       "852          Serie A  28.0      1991.0     14                    12   \n",
       "1041      Bundesliga  20.0      1998.0     33                    29   \n",
       "1103         Ligue 1  22.0      1996.0     12                     9   \n",
       "1165      Bundesliga  19.0      1999.0     20                    20   \n",
       "1226         Ligue 1  21.0      1997.0     20                    15   \n",
       "1230         Ligue 1  24.0      1994.0     23                    18   \n",
       "1307         La Liga  30.0      1989.0      4                     3   \n",
       "1376      Bundesliga  28.0      1991.0      7                     1   \n",
       "1385         La Liga  26.0      1993.0     14                     6   \n",
       "1410         Ligue 1  27.0      1991.0      3                     3   \n",
       "1529  Premier League  25.0      1994.0     19                    11   \n",
       "1531         La Liga  30.0      1989.0     13                     6   \n",
       "1565         Ligue 1  24.0      1995.0     21                    20   \n",
       "1666      Bundesliga  22.0      1997.0     26                    19   \n",
       "1694      Bundesliga  19.0      2000.0      5                     2   \n",
       "1710         Ligue 1  22.0      1996.0     18                     3   \n",
       "1956         Ligue 1  18.0      2000.0      1                     0   \n",
       "1966  Premier League  17.0      2001.0      2                     0   \n",
       "2017         Serie A  23.0      1995.0     12                     2   \n",
       "2018  Premier League  23.0      1995.0      7                     0   \n",
       "2095         Ligue 1  26.0      1993.0     24                    23   \n",
       "2164         La Liga  23.0      1996.0     25                    13   \n",
       "2180         La Liga  22.0      1996.0      7                     5   \n",
       "2184         Ligue 1  20.0      1998.0      3                     0   \n",
       "2187  Premier League  17.0      2001.0     26                    19   \n",
       "2234         La Liga  21.0      1997.0      2                     0   \n",
       "2238         Ligue 1  27.0      1992.0     27                    25   \n",
       "2326      Bundesliga  23.0      1996.0     31                    29   \n",
       "2355         Serie A  20.0      1999.0     17                     4   \n",
       "2368         Ligue 1  22.0      1997.0      3                     1   \n",
       "2463      Bundesliga  24.0      1994.0     34                    25   \n",
       "2704      Bundesliga  27.0      1991.0     14                    10   \n",
       "\n",
       "     playing_minutes  ...  dribbles_players_dribbled_past  dribbles_nutmegs  \\\n",
       "23                10  ...                             0.0               0.0   \n",
       "135            1,003  ...                            43.0               3.0   \n",
       "238            1,424  ...                            53.0               5.0   \n",
       "335            2,042  ...                            73.0               4.0   \n",
       "501            2,458  ...                            57.0               5.0   \n",
       "517               50  ...                             0.0               0.0   \n",
       "556            1,330  ...                            23.0               0.0   \n",
       "583            2,564  ...                            52.0               0.0   \n",
       "813            1,027  ...                            26.0               1.0   \n",
       "852              997  ...                             4.0               1.0   \n",
       "1041           2,715  ...                            73.0              10.0   \n",
       "1103             849  ...                             9.0               1.0   \n",
       "1165           1,672  ...                            11.0               1.0   \n",
       "1226           1,357  ...                            58.0               2.0   \n",
       "1230           1,709  ...                            35.0               1.0   \n",
       "1307             231  ...                             2.0               0.0   \n",
       "1376             195  ...                             2.0               0.0   \n",
       "1385             623  ...                            14.0               4.0   \n",
       "1410             270  ...                             2.0               1.0   \n",
       "1529           1,143  ...                            19.0               1.0   \n",
       "1531             541  ...                             2.0               0.0   \n",
       "1565           1,674  ...                            64.0               3.0   \n",
       "1666           1,887  ...                            19.0               1.0   \n",
       "1694             197  ...                             4.0               0.0   \n",
       "1710             523  ...                            10.0               0.0   \n",
       "1956              30  ...                             0.0               0.0   \n",
       "1966              15  ...                             2.0               0.0   \n",
       "2017             341  ...                            10.0               0.0   \n",
       "2018              74  ...                             2.0               0.0   \n",
       "2095           2,027  ...                            29.0               2.0   \n",
       "2164           1,220  ...                            37.0               5.0   \n",
       "2180             371  ...                             0.0               0.0   \n",
       "2184              22  ...                             0.0               0.0   \n",
       "2187           1,753  ...                            31.0               2.0   \n",
       "2234               6  ...                             0.0               0.0   \n",
       "2238           2,164  ...                            56.0               2.0   \n",
       "2326           2,608  ...                            45.0               4.0   \n",
       "2355             489  ...                            15.0               0.0   \n",
       "2368             133  ...                             1.0               0.0   \n",
       "2463           2,259  ...                            49.0               0.0   \n",
       "2704             749  ...                            12.0               0.0   \n",
       "\n",
       "      carries_carries  carries_carry_distance  \\\n",
       "23                7.0                    58.0   \n",
       "135             556.0                  4743.0   \n",
       "238             763.0                  5866.0   \n",
       "335             748.0                  6073.0   \n",
       "501             858.0                  6655.0   \n",
       "517              37.0                   286.0   \n",
       "556             587.0                  3895.0   \n",
       "583            1785.0                 10029.0   \n",
       "813             590.0                  4224.0   \n",
       "852             480.0                  3065.0   \n",
       "1041           2071.0                 11588.0   \n",
       "1103            300.0                  2200.0   \n",
       "1165            472.0                  2657.0   \n",
       "1226            616.0                  4329.0   \n",
       "1230            917.0                  6707.0   \n",
       "1307             63.0                   358.0   \n",
       "1376             72.0                   429.0   \n",
       "1385            252.0                  1822.0   \n",
       "1410            120.0                   826.0   \n",
       "1529            518.0                  3774.0   \n",
       "1531            147.0                   935.0   \n",
       "1565            827.0                  7141.0   \n",
       "1666            811.0                  4509.0   \n",
       "1694            148.0                   877.0   \n",
       "1710            272.0                  1575.0   \n",
       "1956              6.0                    36.0   \n",
       "1966             13.0                    85.0   \n",
       "2017            125.0                   959.0   \n",
       "2018             27.0                   169.0   \n",
       "2095            577.0                  3323.0   \n",
       "2164            433.0                  2646.0   \n",
       "2180            110.0                   557.0   \n",
       "2184              4.0                    30.0   \n",
       "2187            726.0                  4770.0   \n",
       "2234              0.0                     0.0   \n",
       "2238           1143.0                  7789.0   \n",
       "2326           1025.0                  6603.0   \n",
       "2355            234.0                  1903.0   \n",
       "2368             56.0                   403.0   \n",
       "2463            888.0                  6983.0   \n",
       "2704            313.0                  1743.0   \n",
       "\n",
       "      carries_carry_progressive_distance  receiving_pass_targets  \\\n",
       "23                                  26.0                     9.0   \n",
       "135                               3389.0                   621.0   \n",
       "238                               3898.0                   881.0   \n",
       "335                               3860.0                  1015.0   \n",
       "501                               4432.0                  1163.0   \n",
       "517                                222.0                    39.0   \n",
       "556                               2462.0                   721.0   \n",
       "583                               7017.0                  2013.0   \n",
       "813                               2860.0                   702.0   \n",
       "852                               1915.0                   558.0   \n",
       "1041                              7447.0                  2341.0   \n",
       "1103                              1532.0                   380.0   \n",
       "1165                              1274.0                   677.0   \n",
       "1226                              2786.0                   699.0   \n",
       "1230                              3946.0                   946.0   \n",
       "1307                               140.0                    81.0   \n",
       "1376                               181.0                    82.0   \n",
       "1385                              1144.0                   304.0   \n",
       "1410                               511.0                   142.0   \n",
       "1529                              2173.0                   585.0   \n",
       "1531                               502.0                   217.0   \n",
       "1565                              4443.0                   898.0   \n",
       "1666                              2575.0                   884.0   \n",
       "1694                               585.0                   153.0   \n",
       "1710                               876.0                   309.0   \n",
       "1956                                16.0                     8.0   \n",
       "1966                                36.0                    11.0   \n",
       "2017                               633.0                   186.0   \n",
       "2018                                70.0                    29.0   \n",
       "2095                              1609.0                  1018.0   \n",
       "2164                              1811.0                   501.0   \n",
       "2180                               260.0                   133.0   \n",
       "2184                                22.0                     4.0   \n",
       "2187                              3010.0                   835.0   \n",
       "2234                                 0.0                     6.0   \n",
       "2238                              4379.0                  1278.0   \n",
       "2326                              4374.0                  1209.0   \n",
       "2355                              1069.0                   286.0   \n",
       "2368                               224.0                    64.0   \n",
       "2463                              4403.0                  1060.0   \n",
       "2704                               990.0                   350.0   \n",
       "\n",
       "      receiving_passes_received  receiving_passes_received_pct  miscontrols  \\\n",
       "23                          6.0                           66.7          0.0   \n",
       "135                       512.0                           82.4         38.0   \n",
       "238                       713.0                           80.9         27.0   \n",
       "335                       680.0                           67.0         71.0   \n",
       "501                       792.0                           68.1         52.0   \n",
       "517                        39.0                          100.0          0.0   \n",
       "556                       570.0                           79.1         25.0   \n",
       "583                      1885.0                           93.6         22.0   \n",
       "813                       600.0                           85.5         34.0   \n",
       "852                       510.0                           91.4          5.0   \n",
       "1041                     2071.0                           88.5         53.0   \n",
       "1103                      294.0                           77.4         16.0   \n",
       "1165                      480.0                           70.9         48.0   \n",
       "1226                      552.0                           79.0         34.0   \n",
       "1230                      847.0                           89.5         26.0   \n",
       "1307                       59.0                           72.8          3.0   \n",
       "1376                       61.0                           74.4          7.0   \n",
       "1385                      241.0                           79.3         15.0   \n",
       "1410                      124.0                           87.3          3.0   \n",
       "1529                      484.0                           82.7         12.0   \n",
       "1531                      164.0                           75.6          6.0   \n",
       "1565                      704.0                           78.4         31.0   \n",
       "1666                      758.0                           85.7         24.0   \n",
       "1694                      148.0                           96.7          1.0   \n",
       "1710                      266.0                           86.1          8.0   \n",
       "1956                        5.0                           62.5          0.0   \n",
       "1966                        8.0                           72.7          2.0   \n",
       "2017                      128.0                           68.8         10.0   \n",
       "2018                       22.0                           75.9          2.0   \n",
       "2095                      616.0                           60.5         59.0   \n",
       "2164                      377.0                           75.2         22.0   \n",
       "2180                      131.0                           98.5          1.0   \n",
       "2184                        3.0                           75.0          0.0   \n",
       "2187                      696.0                           83.4         32.0   \n",
       "2234                        2.0                           33.3          0.0   \n",
       "2238                     1071.0                           83.8         37.0   \n",
       "2326                     1048.0                           86.7         50.0   \n",
       "2355                      222.0                           77.6         14.0   \n",
       "2368                       52.0                           81.3          4.0   \n",
       "2463                      816.0                           77.0         43.0   \n",
       "2704                      318.0                           90.9          8.0   \n",
       "\n",
       "      dispossessed  \n",
       "23             0.0  \n",
       "135           29.0  \n",
       "238           41.0  \n",
       "335           78.0  \n",
       "501           55.0  \n",
       "517            0.0  \n",
       "556           26.0  \n",
       "583           30.0  \n",
       "813           22.0  \n",
       "852            5.0  \n",
       "1041          57.0  \n",
       "1103          10.0  \n",
       "1165          20.0  \n",
       "1226          46.0  \n",
       "1230          23.0  \n",
       "1307           4.0  \n",
       "1376           2.0  \n",
       "1385          13.0  \n",
       "1410           4.0  \n",
       "1529          28.0  \n",
       "1531           3.0  \n",
       "1565          35.0  \n",
       "1666          22.0  \n",
       "1694           2.0  \n",
       "1710           7.0  \n",
       "1956           0.0  \n",
       "1966           1.0  \n",
       "2017          12.0  \n",
       "2018           5.0  \n",
       "2095          36.0  \n",
       "2164          32.0  \n",
       "2180           1.0  \n",
       "2184           1.0  \n",
       "2187          37.0  \n",
       "2234           0.0  \n",
       "2238          32.0  \n",
       "2326          29.0  \n",
       "2355          11.0  \n",
       "2368           1.0  \n",
       "2463          53.0  \n",
       "2704           7.0  \n",
       "\n",
       "[41 rows x 145 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.position==\"DF,FW\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['player',\n",
       " 'nationality',\n",
       " 'position',\n",
       " 'squad',\n",
       " 'comp_level',\n",
       " 'age',\n",
       " 'birth_year',\n",
       " 'games',\n",
       " 'playing_games_starts',\n",
       " 'playing_minutes',\n",
       " 'playing_goals',\n",
       " 'performance_assists',\n",
       " 'performance_pens_made',\n",
       " 'performance_pens_att',\n",
       " 'performance_cards_yellow',\n",
       " 'performance_cards_red',\n",
       " 'performance_goals_per90',\n",
       " 'per90_assists_per90',\n",
       " 'per90_goals_assists_per90',\n",
       " 'per90_goals_pens_per90',\n",
       " 'per90_goals_assists_pens_per90',\n",
       " 'per90_xg',\n",
       " 'expected_npxg',\n",
       " 'expected_xa',\n",
       " 'expected_xg_per90',\n",
       " 'per90_xa_per90',\n",
       " 'per90_xg_xa_per90',\n",
       " 'per90_npxg_per90',\n",
       " 'per90_npxg_xa_per90',\n",
       " 'per90_matches',\n",
       " 'tackles_tackles',\n",
       " 'tackles_tackles_won',\n",
       " 'tackles_tackles_def_3rd',\n",
       " 'tackles_tackles_mid_3rd',\n",
       " 'tackles_tackles_att_3rd',\n",
       " 'dribbles_def_dribble_tackles',\n",
       " 'dribbles_def_dribbles_vs',\n",
       " 'dribbles_def_dribble_tackles_pct',\n",
       " 'dribbles_def_dribbled_past',\n",
       " 'pressures_pressures',\n",
       " 'pressures_pressure_regains',\n",
       " 'pressures_pressure_regain_pct',\n",
       " 'pressures_pressures_def_3rd',\n",
       " 'pressures_pressures_mid_3rd',\n",
       " 'pressures_pressures_att_3rd',\n",
       " 'blocks_blocks',\n",
       " 'blocks_blocked_shots',\n",
       " 'blocks_blocked_shots_saves',\n",
       " 'blocks_blocked_passes',\n",
       " 'interceptions',\n",
       " 'clearances',\n",
       " 'errors',\n",
       " 'sca_sca',\n",
       " 'sca_sca_per90',\n",
       " 'sca_types_sca_passes_live',\n",
       " 'sca_types_sca_passes_dead',\n",
       " 'sca_types_sca_dribbles',\n",
       " 'sca_types_sca_shots',\n",
       " 'sca_types_sca_fouled',\n",
       " 'gca_gca',\n",
       " 'gca_gca_per90',\n",
       " 'gca_types_gca_passes_live',\n",
       " 'gca_types_gca_passes_dead',\n",
       " 'gca_types_gca_dribbles',\n",
       " 'gca_types_gca_shots',\n",
       " 'gca_types_gca_fouled',\n",
       " 'gca_types_gca_og_for',\n",
       " 'performance_cards_yellow_red',\n",
       " 'performance_fouls',\n",
       " 'performance_fouled',\n",
       " 'performance_offsides',\n",
       " 'performance_crosses',\n",
       " 'performance_interceptions',\n",
       " 'performance_tackles_won',\n",
       " 'performance_pens_won',\n",
       " 'performance_pens_conceded',\n",
       " 'performance_own_goals',\n",
       " 'performance_ball_recoveries',\n",
       " 'aerials_aerials_won',\n",
       " 'aerials_aerials_lost',\n",
       " 'aerials_aerials_won_pct',\n",
       " 'passes_total_passes_completed',\n",
       " 'passes_total_passes',\n",
       " 'passes_total_passes_pct',\n",
       " 'passes_total_passes_total_distance',\n",
       " 'passes_total_passes_progressive_distance',\n",
       " 'passes_short_passes_completed_short',\n",
       " 'passes_short_passes_short',\n",
       " 'passes_short_passes_pct_short',\n",
       " 'passes_medium_passes_completed_medium',\n",
       " 'passes_medium_passes_medium',\n",
       " 'passes_medium_passes_pct_medium',\n",
       " 'passes_long_passes_completed_long',\n",
       " 'passes_long_passes_long',\n",
       " 'passes_long_passes_pct_long',\n",
       " 'assists',\n",
       " 'xa',\n",
       " 'xa_net',\n",
       " 'assisted_shots',\n",
       " 'passes_into_final_third',\n",
       " 'passes_into_penalty_area',\n",
       " 'crosses_into_penalty_area',\n",
       " 'progressive_passes',\n",
       " 'playing_minutes_per_game',\n",
       " 'playing_minutes_pct',\n",
       " 'playing_minutes_90s',\n",
       " 'starts_minutes_per_start',\n",
       " 'starts_games_subs',\n",
       " 'subs_minutes_per_sub',\n",
       " 'subs_unused_subs',\n",
       " 'subs_points_per_match',\n",
       " 'team_success_on_goals_for',\n",
       " 'team_success_on_goals_against',\n",
       " 'team_success_plus_minus',\n",
       " 'team_success_plus_minus_per90',\n",
       " 'team_success_plus_minus_wowy',\n",
       " 'team_success_on_xg_for',\n",
       " 'xg_team_success_on_xg_against',\n",
       " 'xg_team_success_xg_plus_minus',\n",
       " 'xg_team_success_xg_plus_minus_per90',\n",
       " 'xg_team_success_xg_plus_minus_wowy',\n",
       " 'xg_team_success_matches',\n",
       " 'touches_touches',\n",
       " 'touches_touches_def_pen_area',\n",
       " 'touches_touches_def_3rd',\n",
       " 'touches_touches_mid_3rd',\n",
       " 'touches_touches_att_3rd',\n",
       " 'touches_touches_att_pen_area',\n",
       " 'touches_touches_live_ball',\n",
       " 'dribbles_dribbles_completed',\n",
       " 'dribbles_dribbles',\n",
       " 'dribbles_dribbles_completed_pct',\n",
       " 'dribbles_players_dribbled_past',\n",
       " 'dribbles_nutmegs',\n",
       " 'carries_carries',\n",
       " 'carries_carry_distance',\n",
       " 'carries_carry_progressive_distance',\n",
       " 'receiving_pass_targets',\n",
       " 'receiving_passes_received',\n",
       " 'receiving_passes_received_pct',\n",
       " 'miscontrols',\n",
       " 'dispossessed',\n",
       " 'minutes_90']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(data.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filter out regular players. (Those who have played majority of the season)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "regular = data[data.playing_minutes_pct > 60]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Finding Similar Players to the ones perfoming well at city, liverpool and other top clubs that can help United "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [],
   "source": [
    "midfielders = regular[regular.position.isin([\"MF\", \"DF,MF\"])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "creative_mid_stats = [\"player\", \"playing_minutes_pct\",\"per90_goals_assists_pens_per90\", \"expected_xa\", \"expected_xg_per90\", \"per90_xg\", \"per90_npxg_xa_per90\", \"pressures_pressures_mid_3rd\", \"pressures_pressures_att_3rd\", \"interceptions\", \"starts_minutes_per_start\", \"sca_sca_per90\", \"gca_gca_per90\", \"sca_types_sca_dribbles\", \"gca_types_gca_dribbles\", \"passes_total_passes_progressive_distance\", \"passes_medium_passes_pct_medium\", \"passes_long_passes_pct_long\",\"passes_into_final_third\", \"passes_into_penalty_area\", \"crosses_into_penalty_area\", \"team_success_plus_minus_per90\", \"touches_touches_mid_3rd\", \"touches_touches_att_3rd\", \"touches_touches_att_pen_area\", \"dribbles_dribbles_completed_pct\", \"dribbles_nutmegs\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = creative_mid_stats[:]\n",
    "cols.remove(\"player\")\n",
    "creative_values = midfielders[cols].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[t-SNE] Computing 121 nearest neighbors...\n",
      "[t-SNE] Indexed 204 samples in 0.000s...\n",
      "[t-SNE] Computed neighbors for 204 samples in 0.005s...\n",
      "[t-SNE] Computed conditional probabilities for sample 204 / 204\n",
      "[t-SNE] Mean sigma: 547.431303\n",
      "[t-SNE] KL divergence after 250 iterations with early exaggeration: 48.388199\n",
      "[t-SNE] KL divergence after 300 iterations: 0.115083\n",
      "t-SNE done! Time elapsed: 0.29213714599609375 seconds\n"
     ]
    }
   ],
   "source": [
    "time_start = time.time()\n",
    "tsne = TSNE(n_components=2, verbose=1, perplexity=40, n_iter=300)\n",
    "tsne_results = tsne.fit_transform(creative_values)\n",
    "print('t-SNE done! Time elapsed: {} seconds'.format(time.time()-time_start))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [],
   "source": [
    "creative_mid = midfielders[creative_mid_stats]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mancunian92/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "/home/mancunian92/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "creative_mid[\"t-sne-1d\"] = tsne_results[:, 0]\n",
    "creative_mid[\"t-sne-2d\"] = tsne_results[:, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "kmeans_model = KMeans(n_clusters=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n",
       "    n_clusters=5, n_init=10, n_jobs=None, precompute_distances='auto',\n",
       "    random_state=None, tol=0.0001, verbose=0)"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmeans_model.fit(creative_mid.drop([\"t-sne-1d\", \"t-sne-2d\", \"player\"], axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mancunian92/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "creative_mid[\"class\"] = kmeans_model.predict(creative_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f016e5b8630>"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,10))\n",
    "sns.scatterplot(\n",
    "    x=\"t-sne-1d\", y=\"t-sne-2d\",\n",
    "    hue=\"class\",\n",
    "    palette=sns.color_palette(\"hls\", 5),\n",
    "    data=creative_mid,\n",
    "    legend=\"full\",\n",
    "    alpha=0.3\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    61\n",
       "4    53\n",
       "3    41\n",
       "1    39\n",
       "2    10\n",
       "Name: class, dtype: int64"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "creative_mid[\"class\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Luis Alberto',\n",
       " 'Éver Banega',\n",
       " 'Sergio Busquets',\n",
       " 'José Campaña',\n",
       " 'Kevin De Bruyne',\n",
       " 'Joshua Kimmich',\n",
       " 'Toni Kroos',\n",
       " 'Oliver Norwood',\n",
       " 'Daniel Parejo',\n",
       " 'Rodri']"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(creative_mid[creative_mid[\"class\"]==2][\"player\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}