computer vision and sports
📊⚽ 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.
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
⚽️ Extract, prepare and publish Transfermarkt datasets.
A Python package for training and analyzing expected goals (xG) models in soccer.
The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actionable insights.
A curated list of football analytics awesome resources, articles, books and more!
The football entity register. Maps player, team, and coach identities across Transfermarkt, FBref, UEFA, Sofascore, and 25+ data providers.
Collection of references, datasets and software libraries for soccer analytics.
An analysis and visualization R package that works with publicly available soccer data
Complete football/soccer datalake with 93000+ players from Transfermarkt. Includes player profiles, performance statistics, market values, transfer histories, injury records, national team data, and teammate relationships.
Football Data Processing & Visualization
Tools to help developers and data scientists in sports
An example of how to create a xG model using R and Wyscout event data
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.
EA FC 26 Automated SBC Solving using Integer Programming ⚽
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.
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