📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀

An extendable Statsbomb API wrapper for data-pipelines

Statball - Football soccer stats analyser from top 5 european leagues with data obtained by web scraping from Fbref and Statsbomb

Code and Shiny App to Generate "Entries into Final 3rd" Soccer viz. (StatsBomb event data).

Player and Team analysis using Machine Learning models with useful charts to help GMs and Coaches on decision-making situations ⚽️

The top teams in the English Premier League in the 2021-22 season, Manchester City and Liverpool FC, have gone ahead during this off season to add classic NO.9s to their already stellar attack options. Let's see how these two player stack up against each order using radar plot. Data source is FBref via Statsbomb.

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

Final Ironhack project: an analysis of the Lionel Messi era at Barcelona - Analysis of Messi's season-by-season output / Using regression to predict Messi's future output / Using Machine learning to predict if a shot will result in a goal or not.

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

Classification model for expected goals (xG) in women's club soccer, predicting the likelihood that a shot will score using data extracted from StatsBomb.

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

A match analysis suite designed to automate performance analysis in soccer, using StatsBomb data.

Data Analysis in football Projects

Collection of football projects and analysis of teams and individual players utilising Python, SQL and Statsbomb publicly available data.

⚽️ Unveiling the FIFA World Cup 2022 Final! 🏆 Explore the epic clash between Argentina and France through data-driven visualizations. From shot maps to passing networks and heatmaps, this project combines football excitement with advanced analytics to reveal tactical insights and key moments from one of the greatest matches in history!

Building xG and xGOT based on Statsbomb World Cup 2022 Open Data

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

⚽ Belgian Jupiler Pro League 2021/22 analysis — custom midfielder metrics using 1.1M+ StatsBomb events

Interactive ArcGIS JS app visualizing the 2022 World Cup Final (Argentina vs France) with heatmaps, pass networks, shot maps & player analytics — powered by StatsBomb open data

Learning and exploring data analysis through real-world datasets using Python and StatsBomb APIs and mlpsoccer library

A data pipeline built with Apache NiFi to process football event data from StatsBomb Open Data. It parses, filters, transforms, and groups events (Pass, Shot, Dribble) from UEFA Champions League and MLS matches using low-code NiFi processors and JOLT. The output is written to structured JSON files, demonstrating a full ETL workflow.

Data-driven football possession value model (xT/VAEP) to quantify ball progression and player impact.

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.

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

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

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).

Comprehensive tactical analysis of the FIFA World Cup 2022 Final (Argentina vs France) using Python and StatsBomb data. Featuring shot maps, goalkeeper performance visualizations, and xG flow momentum charts.

Football data visualization project using Streamlit and StatsBomb Free data.