College sports data, ready to build on

Serious sports data, made accessible.

Build notebooks, models, and AI-assisted workflows from structured college sports data.

Structured dataCSV and notebook-ready files
Developer firstAPI, prompt, and project workflows
Model awareFeatures, evaluation, and exports
Clean boundariesData workflows, not guarantees

Live catalog

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Choose a starting point

Different buyers need different entry points: clean files, modeling workflows, or safer AI-assisted project scaffolds.

A practical lab for independent builders

The packs are built for people who want inspectable files, reusable examples, and clear boundaries around what the data can and cannot promise.

Readable structure

Guides, schemas, notebooks, and exports are designed to be opened, inspected, and adapted.

Sports-aware, not noisy

The design points to fields, seasons, matchups, and brackets without turning the store into a team site.

Build with the data

Use the materials to compare teams, train models, generate notebooks, and scaffold safer API projects.

What the packs help you inspect

The exact fields vary by product, but the workflow stays consistent: load files, validate assumptions, build outputs, and keep your next question grounded in the data.

Example workflow surface CSV · notebooks · API context
Area What you can build Typical output
games season previews, team comparisons, schedule views clean tables and charts
metrics efficiency, explosiveness, ratings, matchup notes notebooks and exports
models baseline predictions, validation, model comparison evaluation summaries
api bounded requests, fixtures, cache and review patterns local project scaffolds

Latest from the store

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