#Soccer
Showing 33 of 33 repositories tagged #soccer, ranked by stars
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.
⚽ Command line interface for Hackers who love football
An open source soccer/football manager game
The beautiful game in your terminal. Minimal TUI app to keep up with live & recent football/soccer matches written in Go.
English and European soccer results 1871-2022
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.
⚽🏆 World Cup 2018 CLI dashboard: watch matches in your terminal.
Watch live World Cup 2022 matches in your terminal. ⚽🏆
Analysis and datasets about football (soccer)
A python package for turning sports video into csv files
⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀
The RoboCup Soccer Simulator Server
Graphs and passing networks in football.
Predict game results with ML models trained on historical data; trade on Polymarket Sports(NHL, NBA, Tennis etc). Data → train → predict → trade.
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.
A sports data scraping and analysis tool
A python tool to visualise game animations
An example of how to create a xG model using R and Wyscout event data
TeamTrack: An Algorithm and Benchmark Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos
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.
AIFootballPredictions is an ML-based system to predict if a football match will have over 2.5 goals. Using historical data from top European leagues (Serie A, EPL, Bundesliga, La Liga, Ligue 1), it employs advanced feature engineering and model training techniques to provide accurate predictions. Perfect for sports analytics enthusiasts.
Free Impect Data for Everyone!
Desktop application for analyzing a football game. It supports many features like player detection, automatic offense and defense calculation, youtube downloader and others
A Premier League football dashboard.
HELIOS base is a sample implementation of the simulated soccer team for the RoboCup Soccer Simulation.
Collection of all my data visualizations.
Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
Analysis of Serie A Fantasy Football data
"Predicting Ball Location From Optical Tracking Data" - contains data analysis, model development and testing
End-To-End Data Engineering Project. Made to learn some common data engineering practices.
Extract, analyze and visualize data for football teams and player performances.