computer vision and sports
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Updated
Aug 19, 2024 - Python
computer vision and sports
⛏⚽ 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
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.
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
API service to get data from Transfermarkt
Demo on how to compute soccer ball possession automatically using AI.
Home Assistant integration that provides real-time scores in multiple professional (NBA, NFL, NHL, MLB, MLS, and more), college (NCAA), and international (soccer, golf, tennis, mma, racing) sports using ESPN APIs.
An asynchronous Python package for https://understat.com/.
An open source soccer/football manager game
FootAndBall: Integrated player and ball detector
SoccerNet@CVPR | 1st place solution for Ball Action Spotting Challenge 2023
Predicting soccer matches outcomes with machine learning as time series.
A sports data scraping and analysis tool
Web-scraping script that writes the data of all players from FutHead and FutBin to a CSV file or a DB
command-line football (soccer) livescore and *news for linux/mac user
A simple Python package to gather live sports scores
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