computer vision and sports
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, 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
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.
Create a database of ⚽️ data from understat.com
A bot that provides soccer predictions using Poisson regression
wyscoutapi is an extremely basic API client for the Wyscout API (v2 & v3) for Python
This project aims to rate football players using data and statistics recorded from the last match they participated in. Much of the code included in this project can be used for other purposes when working with the Wyscout data set. For example minutes_played.py, fitting_functions.py and KPI_functions.py.
Interactive Football Scouting Web App for BotolaPro Moroccan League using Streamlit
This repository will contain all sorts of basic visualisation to step into the world of football analytics
asyncIO, Github Actions, GCP, dbt, Terraform, Docker
Python Discord bot, powered by the API-Football API, designed to bring you real-time sports data right into your Discord server!
Data Science Project Using Soccer Data
Scrapping of Historical Market Values (MV) of football players from www.transfermarkt.com using Scrapy.
Sila referee telegram bot
Europearn Football League matches analysis using PostgreSQL
Automated Football League Standings Tracker – automatically fetches the latest standings for major football leagues, updates a README with a formatted table, saves the data in JSON for easy use, and includes timestamps in UTC and IST. It supports leagues like Premier League, La Liga, Bundesliga, Serie A, Ligue 1, and UEFA Champions League.
This repository accompanies the article "Which indicators matter? Using performance indicators to predict in-game success-related events in association football", under review in International Journal of Computer Science in Sport (IJCSS).
Add a description, image, and links to the soccer-data topic page so that developers can more easily learn about it.
To associate your repository with the soccer-data topic, visit your repo's landing page and select "manage topics."