computer vision and sports
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Updated
Aug 19, 2024 - Python
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, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat
A Comprehensive Database on the FIFA World Cup (Men's and Women's)
A curated list of football analytics awesome resources, articles, books and more!
A Comprehensive Database on the Premier League and the English Football League (1888-2024)
football (soccer) datasets
The Open-Source Live Football Standing
It's a crawler for statistics of corners and goals for the future games and a bot for Telegram to send the statistics.
Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.
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.
Create a database of ⚽️ data from understat.com
Statball - Football soccer stats analyser from top 5 european leagues with data obtained by web scraping from Fbref and Statsbomb
Live Score Client for api-football.com
A bot that provides soccer predictions using Poisson regression
This is a web scraper that helps to scrape football data from FBRef.com. It can scrape data from the top 5 Domestic League games. It can be easily edited to scrape data from other leagues as well as from other competitions such as Champions League, Domestic Cup games, friendlies, etc.
Mainly football leagues database of 2023/2024 season in JSON format
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