serie-a

Free open public domain football data in JSON incl. English Premier League, Bundesliga, Primera División, Serie A and more - No API key required ;-)

Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores.

European Soccer Standings Module for MagicMirror²

⚽ Soccer CLI

Analysis of Serie A Fantasy Football data

This project uses Expected Goals (xG) data and squad quality ratings within an elo-based Monte Carlo model to predict final standings in 7 major European soccer leagues and the UEFA Champions League.

Scrape and analyze FBREF data with kickR.

A Telegram bot that reposts Serie A goals from /r/soccer/new

五大联赛足球预测/足彩竞彩参考：赔率ML预测胜平负与比分。Five leagues soccer football prediction (Premier La Liga Bundesliga Serie A Ligue 1) 1X2 score odds machine learning.

Bayesian modelling of football outcomes using the Skellam distribution (Karlis&Ntzoufras model). Final project for the Bayesian Statistics course of the MSc degree in Data Science and Artificial Intelligence (DSAI), University of Trieste

Stay up-to-date with the latest scores, and standings from the Italian Serie A football league.

Repository contains comprehensive data from football matches from various football leagues

⚽ golazo!

Python package for Football Reference scraping and easy access to football data from various leagues

Player power score model across the Top 5 European leagues (2017–2024) — EDA, position-based scoring pipeline, and team analysis. WIP.

Football analytics: predicting Serie A 2015/16 full-time results from first-half statistics using StatsBomb event data. Includes advanced metrics (xG, PPDA, Field Tilt) and ML classification (SVM, Decision Tree, Naive Bayes).

Automated pipeline to scrape WhoScored Serie A match event data using Playwright, store events in PostgreSQL with JSONB qualifiers, fully containerised with Docker.

⚽ Unofficial, non-commercial fan project for friends having fun: a season-long football picks league. Not affiliated with, endorsed by, or sponsored by any league, club, or brand; club names are for identification only, no logos/trademarks are owned by this project. Vanilla JS PWA + Firebase.

Pipeline de Machine Learning para previsão de resultados, gols e mercados de apostas do Campeonato Brasileiro Série A. XGBoost + Poisson Bivariado + Calibração Isotônica.

A complete Data Science pipeline (Jupyter Notebook) and interactive Streamlit web app for tactical football scouting of Serie A defenders using PCA and K-Means clustering.