📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
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Updated
Apr 14, 2024 - Jupyter Notebook
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
computer vision and sports
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
⚽️ Extract, prepare and publish Transfermarkt datasets.
Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning prediction... This is a companion python module for octosport medium blog.
A Python package for training and analyzing expected goals (xG) models in soccer.
A curated list of football analytics awesome resources, articles, books and more!
A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport
QATAR 2022 World Cup prediction from the international matches played since the 90s, the qualifications of the teams in their last matches, and the potential of each team.
An analysis and visualization R package that works with publicly available soccer data
An example of how to create a xG model using R and Wyscout event data
It's a crawler for statistics of corners and goals for the future games and a bot for Telegram to send the statistics.
Webscraper for the website www.whoscored.com using Python and Selenium
This is a computer vision project that utilizes object detection algorithms to analyze football matches videos by finding the position of players, ball and referees on the football pitch and finding out to which team each player belongs.
EA FC 25 Automated SBC Solving using Integer Programming ⚽
Football Data Processing & Visualization
Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.
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