computer vision and sports
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Updated
Aug 13, 2025 - Python
computer vision and sports
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.
⚽️ Extract, prepare and publish Transfermarkt datasets.
Training a neural network to predict the outcome of a football match using fifa ratings
⚽ High-performance football analytics toolkit: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by pena.lt/y/blog 🚀
A sports data scraping and analysis tool
The ultimate FPL dataset including the 2025/26 season. Fuses official FPL API data with detailed match stats, dynamic team Elo ratings, and full cup, friendlies and Euro coverage. All data is aligned by official FPL IDs for deep analysis.
Python package that helps you visualize football data ⚽
An extendable Statsbomb API wrapper for data-pipelines
A Premier League football dashboard.
sportmonks is a Python 3.5+ package that implements SportMonks API.
Web scraper to retrieve player and team data from Pro Football Reference.
A collection of python scripts to collect, clean and visualise odds for football matches from Betfair, as well as perform machine learning on the collected odds.
Create a database of ⚽️ data from understat.com
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.
Web-scraped Transfermarkt data for all soccer/football transfers in 10 European leagues over 30 seasons
Creates csv files containing football data scraped from the website www.fbref.com
A bot that provides soccer predictions using Poisson regression
Find out which footballer is the greatest of all times from their La-Liga stats. Is it Leo Messi or CR7?
Bayesian models of football leagues
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