FootStats – bot do analizy meczów piłkarskich z AI (Groq), scrapingiem kursów bukmacherskich i backtestingiem
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Updated
Aug 9, 2026 - Python
FootStats – bot do analizy meczów piłkarskich z AI (Groq), scrapingiem kursów bukmacherskich i backtestingiem
Collection of my Python projects
⚽ Football stats, league tables & addictive mini-games — build your Invincible XI. Premier League now, multi-competition soon.
A simple package providing football data
It’s a free GitHub database that gives you all the match schedules and results for big football tournaments such as the World Cup and African Cup, ready for developers to use in websites or apps.
Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.
Football News API – Get real-time football news from major leagues, teams, categories, and dates through a fast and simple REST API.
FutStats is a C++ OOP project providing a comprehensive football (soccer) statistics management system. It features detailed data for 18 top-league teams (2022-23 season), including player stats, match schedules, club history, a fantasy tournament, quiz, and team suggestions.
Work in progress, analyze detailed stast of Serie A from fantalab and Fbref, detect best player for price and stats
ProSports: A dynamic football stats website built with HTML, CSS, and JS, powered by API-Football.
Data deep dive into the English Football Leagues historical stats
Interactive Premier League analytics dashboard built with Streamlit. Compare team performance, xG trends, attacking/defensive metrics, and more.
Estatísticas históricas de jogadores do Brasileirão Série A — médias de chutes, faltas, cartões, gols e assistências, com filtro por time e mando de campo.
⚽ Aplicación web para registrar partidos de fútbol entre amigos, gestionar grupos y jugadores, y generar estadísticas, rankings e historial de encuentros. Desarrollada con Django y PostgreSQL.
Python tool for collecting all raw data from the Fantasy Premier League (FPL) API. The collector fetches every available dataset including all 101 player attributes, fixtures, teams, and gameweek information and saves them in structured JSON, CSV, and TXT formats.
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