computer vision and sports
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Updated
Aug 19, 2024 - Python
computer vision and sports
Free football data from StatsBomb
📊⚽ 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.
⚽ Command line interface for Hackers who love football
English and European soccer results 1871-2022
⛏⚽ 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
⚽🏆 World Cup 2018 CLI dashboard: watch matches in your terminal.
Daily Fantasy Sports lineup optimzer for all popular daily fantasy sports sites
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Analysis and datasets about football (soccer)
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
⚽ Champions League draw simulator
A python package for turning sports video into csv files
API service to get data from Transfermarkt
SkillCorner Open Data with 9 matches of broadcast tracking data.
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