A smoother path from idea to first request is live. The new College Football Data API docs bring onboarding, authentication guidance, an interactive API reference, and code snippets for the official Python and TypeScript SDKs into one place. Start building: api.collegefootballdata.com

Why can teams with the same record rank so differently? See how win percentage, point differential, SRS, and Elo rate 2025 FBS teams, what each measures, and where it can mislead. Read it: radsportsanalytics.com/blog/four-wa...

Four Ways to Measure College Football Team Strength

Compare four common approaches to rating college football teams, see why their rankings disagree, and learn when each method becomes misleading.

radsportsanalytics.com

Want to reconstruct a CFP bracket from the selected field through the national champion? GET /playoffs/cfp returns participants, seeds, byes, rounds, matchups, and advancement paths as structured data. You can also query participants or games separately. api.collegefootballdata.com

You don’t need to start with a predictive model. This Python tutorial turns three CFBD API requests into a clean DataFrame and visual profile. Change two variables to rerun it for any team and completed season. radsportsanalytics.com/blog/first-c...

Your First CFBD Analysis: Build a Team Profile

Make your first CFBD request, turn the response into a clean DataFrame, and build a simple visual profile for any college football team.

radsportsanalytics.com

FCS analysis can now go beyond scores and schedules. Use CFBD to query team season stats, advanced stats, and team EPA by season or game. Developers and analysts can build broader rankings, profiles, and comparisons. More at CollegeFootballData.com

Start preseason analysis without beginning from a blank notebook. The 2026 CFB Starter Pack pairs clean historical data with 14 guided notebooks. The new weekly trajectory notebook helps track how a team’s form changes across the season. collegefootballdata.gumroad.com/l/starter-pack

Coach data in CFBD just got a major upgrade. Build with stable coach and team IDs, career summaries, complete tenure histories, and richer season-level context.

Not sure what to build with CollegeFootballData? Here are 10 projects, from team profiles to drive dashboards, power ratings, and prediction pipelines. Choose one: radsportsanalytics.com/blog/college...

10 CollegeFootballData Project Ideas | CFBD

Ten practical CFBD projects—from a first team chart to rankings and live dashboards—with a starting question, data path, and suggested difficulty for each.

radsportsanalytics.com

What Can You Build with CFBD? 10 Project Ideas radsportsanalytics.com/blog/college...

10 CollegeFootballData Project Ideas | CFBD

Ten practical CFBD projects—from a first team chart to rankings and live dashboards—with a starting question, data path, and suggested difficulty for each.

radsportsanalytics.com

The CFBD Blog has a new home, but CFBD isn’t going anywhere. Rad Sports Analytics is now home to tutorials and analysis across football and basketball.

Why the CFBD Blog Is Becoming Rad Sports Analytics

The CFBD Blog is becoming Rad Sports Analytics: a broader home for practical analysis, tutorials, modeling, visualization, and engineering stories across college football and basketball.

buff.ly

I built the CFBD AI Builder Pack for people who understand API basics and want tested project structure for work with Claude, Codex, Cursor, Copilot, or similar tools. See inside the pack: youtu.be/ook9dPzb3yQ Gumroad link: gumroad.com/products/hbh...

Expanded SRS ratings just dropped! The new ratings combine both FBS and FCS. These will update in parallel with the traditional FBS-only ratings.

Bill Radjewski@collegefootballdata.com · 2w ago

More FCS data, more room to build. FCS stats coverage has been expanded across several API endpoints. You can now bring more FCS data into your analysis, models, and apps. Explore the data at CollegeFootballData.com

More FCS data, more room to build. FCS stats coverage has been expanded across several API endpoints. You can now bring more FCS data into your analysis, models, and apps. Explore the data at CollegeFootballData.com

Your first CFBD analysis doesn't need machine learning. Use Python and three API requests to build a clean FBS team profile, add percentile context, and create a reusable chart. radsportsanalytics.com/blog/first-c...

Your First CFBD Analysis: Build a Team Profile

Make your first CFBD request, turn the response into a clean DataFrame, and build a simple visual profile for any college football team.

radsportsanalytics.com

If you've picked up the **2026 CFB Starter Pack** (or you're thinking about it), this is a great next read. It walks through the broader CFBD ecosystem to help you keep building after the notebooks. Whether you're creating models or your own app, there's plenty more to explore. 📖 buff.ly/sC5Qa7G

So You Got the Starter Pack. Now What?

Pull in recent data, enhance your analysis, and explore the CFBD API using Python.

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The 2026 CFB season is just over a month away! Start building this weekend with the CFB Starter Pack: clean historical data, the 2026 schedule, and 14 guided notebooks for rankings, matchup analysis, comparisons, and more. Get the pack: buff.ly/nn3ezNB

🏈 College Football Data Starter Pack (2026 Preseason Edition)

Updated for 2026 — serious college football data, made accessible.Skip the grunt work. Start your college football analytics project with a complete foundation of clean, structured historical data…

collegefootballdata.gumroad.com

The CFBD Blog is becoming Rad Sports Analytics, a broader home for college football and basketball analysis, tutorials, models, visualizations, and engineering. What’s changing, what isn’t, and what comes next: radsportsanalytics.com/blog/why-the...

Why the CFBD Blog Is Becoming Rad Sports Analytics

The CFBD Blog is becoming Rad Sports Analytics: a broader home for practical analysis, tutorials, modeling, visualization, and engineering stories across college football and basketball.

radsportsanalytics.com

New CFBD pack: AI API Launchpad. For CFBD users working with AI coding tools who need API basics first. Includes six notebooks, Python examples, AI prompt/context files, and troubleshooting checklists. $19 promotional price; $29 standard price. buff.ly/qcO5cqB

CFBD AI API Launchpad

DescriptionThe CFBD AI API Launchpad is a practical starter pack for CollegeFootballData.com users who want to use Claude, Codex, Cursor, ChatGPT, or similar AI coding tools with a clearer…

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New for Tier 2+ Patreon subscribers: My Season Workbench is live on CollegeFootballData.com. Favorite teams, saved workflows, recent exports, API usage, and season shortcuts now in one dashboard for CFB data work. Workbench URL: buff.ly/wAD3yDC

🏈 College football is almost back. If you've been thinking about building your own ratings, projections, or betting models, now's the time to start, not Week 1. The 2026 CFBD Starter Pack includes: ✅ Data through 2025 ✅ 2026 schedules ✅ 14 guided Jupyter notebooks Start building:

🏈 College Football Data Starter Pack (2026 Preseason Edition)

Updated for 2026 — serious college football data, made accessible.Skip the grunt work. Start your college football analytics project with a complete foundation of clean, structured historical data…

buff.ly

🎆 CFB is back next month. The 2026 CFBD Starter Pack includes: ✅ Data through 2025 + 2026 schedule ✅ 14 guided Jupyter notebooks ✅ Step-by-step model building A great July 4th weekend project. 🔗 buff.ly/M4pMbG8

Want to build your own college football rankings but don't know where to start? The 2026 CFB Starter Pack gives you clean, structured data + 14 guided notebooks: rankings, matchup prediction, team similarity, EPA & more. Your on-ramp → buff.ly/mzK6vQW

Which 2025 offenses lived on big plays? Wake Forest & Missouri State: super explosive, but below-median success rate. Boom or bust. Notre Dame & Vanderbilt? Explosive AND efficient. From the Compare Metrics notebook in the 2026 Starter Pack: buff.ly/mzK6vQW

The 2026 College Football Data Starter Pack is out. Clean, structured CFB data (games back to 1869, play-by-play & advanced stats back to 2003) plus 14 guided Jupyter notebooks that show you how to actually use it. Skip the grunt work. Build with the data. 🧵

If you aren't on Twitter, you might not have seen this! @marc-gregor.bsky.social and @byazuniga.bsky.social are putting together a photo book chronicling the 2025-26 Michigan men's basketball national championship season. It should be fantastic. www.kickstarter.com/projects/mar...

UnWritten

Remember in photos the 2026 Michigan men’s basketball national championship season.

kickstarter.com

There’s a clear exponential curve between roster talent and NFL Draft picks. Good teams produce draft picks. Elite teams flood the draft.

Michigan didn’t just win the title… they ran through everyone. • Beat all 3 Final Four teams • 6 of 7 Elite Eight teams • 9 of 15 Sweet Sixteen teams This is an absurd tournament résumé.

Updated historical Elo chart for the newly crowned men's basketball National Champion, Michigan. Greatest Michigan team of all time? They have a strong argument.

Season Elo Trends - National Title Game Edition Michigan has hovered near the top of Elo most of the year. UConn has consistently graded out as an elite team. Strong vs steady with it all on the line tonight.

Offense gets headlines. Defense wins in March. The Final Four teams? They do both and that’s why they’re still standing. More data: CollegeBasketballData.com