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.
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.
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!
An analysis and visualization R package that works with publicly available soccer data
Collection of references, datasets and software libraries for soccer analytics.
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.
A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport
Models for estimating football (soccer) team-strength
Football Data Processing & Visualization
EA FC 24 Automated SBC Solving using Integer Programming ⚽
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.
It's a crawler for statistics of corners and goals for the future games and a bot for Telegram to send the statistics.
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