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An extendable Statsbomb API wrapper for data-pipelines

StatsBomb 360° data from Euro 2024 made easily accessible for analysis

Professional-grade football analytics system that transforms live Opta data into actionable tactical intelligence for elite clubs

A football analytics tool to analyse statsbomb data and predict xG for FA Women's Super League

2018 World Cup prediction and visualization project that uses Statsbomb data and Streamlit.

⚽ Système d'analyse de matchs de football en Python (POO) — Calcule VAEP, xG, xT à partir de données réelles StatsBomb (FUS Rabat vs FAR). Héritage · Polymorphisme · Encapsulation

StatsBomb-style Pedri analysis: event scan, per-match stats, radar & pass-map viz, reproducible pipeline.

Maintained fork of socceraction — SPADL event conversion + VAEP action valuation for soccer analytics

Simple functions for plotting relevant informations.

Analysis of football Passes per Minute by position using StatsBomb Open Data. Features a Streamlit dashboard for interactive visualization of positional metrics.

An interactive dashboard for visualizing and analyzing sports statistics, featuring dynamic data visualization

Tactical football analysis platform: team S&W reports, heatmaps, pressing maps, player-role fit, and LLM-generated coaching insights. Powered by FBref, StatsBomb and Understat.

Production-grade football intelligence platform — Expected Threat (xT), trained xG model, VAEP-style possession value, pitch control from StatsBomb 360 freeze frames, packing, data-driven player role discovery, AI tactical commentary. Real World Cup 2022 / Premier League data, FastAPI + React.

Football data visualization project using Streamlit and StatsBomb Free data.

An interactive web app built with Python & Streamlit to visualize football passing networks from StatsBomb open data. The tool uses Matplotlib/mplsoccer to plot player positions and pass connections on a pitch.