football-stats

FootStats – bot do analizy meczów piłkarskich z AI (Groq), scrapingiem kursów bukmacherskich i backtestingiem

Collection of my Python projects

MCP server for Football Charts — football data for 93 leagues in 42 countries: results, fixtures, tables, goal timing and model probabilities. Free, no signup required. football-charts.com

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.

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.

Work in progress, analyze detailed stast of Serie A from fantalab and Fbref, detect best player for price and stats

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.

LangChain toolkit for Football Charts — football data for 93 leagues in 42 countries: results, fixtures, tables, goal timing and model probabilities. football-charts.com

Football News API – Get real-time football news from major leagues, teams, categories, and dates through a fast and simple REST API.

ProSports: A dynamic football stats website built with HTML, CSS, and JS, powered by API-Football.

Interactive Premier League analytics dashboard built with Streamlit. Compare team performance, xG trends, attacking/defensive metrics, and more.

Data deep dive into the English Football Leagues historical stats

Estatísticas históricas de jogadores do Brasileirão Série A — médias de chutes, faltas, cartões, gols e assistências, com filtro por time e mando de campo.

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.

FIFA World Cup statistics

⚽ 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.