{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"Streams StatsBomb football analytics data into Python via API (for paying customers) or free public datasets from GitHub, returning structured match, event, lineup, and competition information as pandas DataFrames.","skillfed_tags":["sports-analytics","football-soccer","data-streaming"],"use_cases":["Fetch competition and match metadata for a specific league and season to build a fixture list for analysis.","Download event-level data (passes, shots, fouls, etc.) for a single match and analyze player actions or team tactics.","Retrieve lineup data to cross-reference player IDs, positions, and physical attributes with event records.","Batch download events across multiple matches using parallel processing to speed up large dataset assembly.","Combine StatsBomb data with external sources (team stats, player ratings) in a pandas workflow for custom analytics."],"what_it_does":"StatsBombpy is a Python client for StatsBomb's football analytics platform. It retrieves structured match, event, lineup, and competition data and returns it as pandas DataFrames, making it easy to load StatsBomb datasets into analysis workflows. The package supports both authenticated API access (for paying customers) and free public datasets hosted on GitHub.\n\nThe package handles authentication via environment variables or inline credentials, supports parallel event and frame fetching across multiple CPU cores (configurable via SB_CORES), and includes caching via requests-cache to reduce redundant API calls. Its main dependencies are pandas for data structures, requests for HTTP communication, and joblib for concurrent processing.","worth_installing":"Yes, if you have StatsBomb API credentials or want to use its free public datasets. Install friction is low, maintenance is active, and no known vulnerabilities exist. The main caveat is unclear licensing\u2014verify the User Agreement and data usage terms before publishing research or deploying in production. Python version support is unspecified, so test compatibility with your environment."},"id":"statsbombpy","links":{"html":"https://skillfed.io/packages/statsbombpy","md":"https://skillfed.io/packages/statsbombpy.md","pypi":"https://pypi.org/project/statsbombpy/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-30","license_spdx":null,"license_treatment":"unclear","name":"statsbombpy","python_support":"unspecified","summary":"easily stream StatsBomb data into Python"},"popularity":{"monthly_downloads":108663,"position":12546,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.22.0"}