CollegeFootballData.com|CollegeBasketballData.com

I've added five new passing endpoints to CollegeFootballData.com, giving you more detail about where passes go and how passing yards are produced. The new data includes: Air yards: how far the pass travels downfield from the line of scrimmage, including throws behind it. Average depth of target (ADO

With the FBS season kicking off tomorrow, this feels like the right time to share what I’ve been building across CollegeFootballData.com and Rad Sports over the past few months. The CFBD API now offers CORE ratings, structured College Football Playoff data, deeper coach and player endpoints, expande

The 2026 edition of the CFBD Model Pick'em is now live. The contest gives college football modelers a practical weekly benchmark: submit projected margins, compare your results against the field, and track how your approach performs throughout the season. Picks can be submitted through the site, CSV

I’ve published the full introduction to CORE Ratings, the new Context & Opponent-Relative Efficiency rating available through CollegeFootballData. CORE is now live through the API and website. This article explains the two-stage idea behind it: compare play-level PPA with what the game situation nor

The downloadable pack teaches the full historical workflow: season-based validation, margin and score models, win probability, calibration, SHAP interpretation, stacking, standardized exports, and model comparison. The pack includes: 5,133 completed FBS games and 86 documented fields, including 2025

I published a new guide last night for anyone who has access to CFBD data but isn’t sure what to build next. It covers 10 practical project ideas across three difficulty levels, including team profiles, rivalry explorers, drive-efficiency dashboards, power ratings, play-level decision models, and in

I put together a new CFBD development pack: CFBD AI Builder Pack. The AI API Launchpad covers making your first API request and the API basics. Builder adds fixtures, tests, request logs, cache controls, and review checkpoints around AI-generated changes. The pack includes: A tested Python starter p

I’ve published a new tutorial for CFBD users who have an API key but aren’t sure what to build first. The walkthrough uses Python and three focused API requests to profile Michigan’s 2023 season. It covers safe key handling, cleaning the responses into DataFrames, comparing eight metrics with the fu

I’ve published a short founder note explaining why the CFBD Blog is moving to Rad Sports Analytics, what the broader football and basketball publication will cover, and what is not changing. CollegeFootballData.com and CollegeBasketballData.com will remain the dedicated platforms. Rad Sports Analyti

I put together a new CFBD learning pack: *CFBD AI API Launchpad*. It is for users who want to use CollegeFootballData with Claude, Codex, Cursor, ChatGPT, or other AI coding tools, but need a clearer foundation first. The pack is intentionally narrow. It teaches the basics that matter before you ask

The 2026 Preseason Edition of the College Football Data Starter Pack is out, refreshed and ready before the season ramps up. What's new this year: Full 2025 season — season, game, drive, and play-by-play data The 2026 schedule — start planning matchups before kickoff A new notebook, Weekly Team Traj

CollegeBasketballData.com enters its first full season on Monday with a stable API and official clients across Python, TypeScript, and (new) R. Keys & access Get a free API key: https://collegebasketballdata.com/key If you already use CollegeFootballData, the basketball API runs on the same infrastr