StatsBomb Open Data
Free event-level football data with xG, freeze frames, and 360 tracking.
StatsBomb Open Data Information
What is StatsBomb Open Data?
StatsBomb Open Data is a comprehensive repository of free, open-source football (soccer) event data, considered a gold standard in football analytics. It provides granular, event-level data for select competitions, including over 3,400 events per match. The dataset is enriched with advanced metrics like expected goals (xG), freeze frames of shots, and a portion of StatsBomb 360 player tracking data. It covers competitions such as the FA Women's Super League (WSL), the 2023 FIFA Women's World Cup, and selected seasons of the UEFA Champions League and La Liga. The data is made available as JSON files on GitHub and is supported by official Python (statsbombpy) and R (StatsBombR) client packages for easy access and analysis.
How to Use StatsBomb Open Data
- Visit the official StatsBomb Open Data GitHub repository to access the data files.
- For programmatic access, install the official client library for your preferred language (e.g., `pip install statsbombpy` for Python or install the `StatsBombR` package for R).
- Use the library's functions to load data for specific competitions, seasons, and matches directly into your analysis environment.
- Explore the dataset structure, which includes events, lineups, and match information.
- Utilize the provided xG, freeze frame, and 360 data to perform detailed tactical and performance analysis.
StatsBomb Open Data Core Features
- Over 3,400 detailed events recorded per match
- Includes advanced metrics like Expected Goals (xG)
- Provides freeze frames for shot analysis
- Contains StatsBomb 360 player tracking data
- Covers major competitions like FA WSL and Women's World Cup
- Official Python (statsbombpy) and R (StatsBombR) client packages
- Data is completely free and open-source
StatsBomb Open Data Use Cases
- Academic research in sports science and analytics
- Building football data applications and visualizations
- Conducting tactical analysis for coaching or media
- Creating machine learning models for match prediction
- Educational projects for learning data analysis with sports data
StatsBomb Open Data FAQ
Is the data provided by StatsBomb Open Data real-time?▼
No, StatsBomb Open Data does not provide real-time data. It is a historical dataset covering past seasons and tournaments. The focus is on providing high-quality, detailed event data for post-match analysis, research, and application development.
What competitions are covered in the dataset?▼
The dataset covers selected football competitions, primarily including the FA Women's Super League (WSL), the 2023 FIFA Women's World Cup, and specific seasons of top men's leagues such as the UEFA Champions League and La Liga. The available competitions may expand over time.
How can I access and use the data?▼
The data is hosted on GitHub as JSON files. For easiest use, StatsBomb provides official client libraries for Python (`statsbombpy`) and R (`StatsBombR`). You can install these packages to programmatically query and load the data directly into your analysis workflow, handling authentication and data parsing automatically.
Supported Platforms
Supported Payment Methods
AI Models & Technologies
StatsBomb Open Data Privacy & Data Security
- ✓Data is shared publicly for research and analysis
- ✓Users must credit StatsBomb when publishing insights based on the data
Free vs Paid Limits
Company Info
StatsBomb Open Data Pricing Plans
Completely free and open-source. Provides full access to all available historical event data, including xG, freeze frames, and 360 data, via GitHub and official API client libraries.
StatsBomb Open Data Traffic Analysis
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