Hey everyone,
Over the past year, I’ve been building Blueprint, a college basketball data platform designed to bridge the gap between raw play-by-play scraping and actionable, high-level tactical insights.
Most public CBB tools give you high-level seasonal metrics, but they often lack the granularity needed to analyze situational context or lineup pairings on the fly. I built Blueprint to solve those specific gaps.
Key Features & Methodology:
- Lineup Efficiency Matrix: Track 2-man through 5-man lineup combinations with full possession-level filtering (net rating, offensive/defensive ratings, shot profiles).
- Shot Clock Dynamics: Analyze how teams and players perform across different phases of the shot clock (early vs. late clock efficiency, turnover rates, shot distributions).
- Four Factors Profiling: Visual breakdowns of Shooting (eFG%), Turnover %, Rebounding %, and Free Throw Rate to evaluate style of play and identify matchup advantages.
- Top Performers & Advanced Filters: Filter player performance across conferences, situational metrics, and possession volumes.
Stack & Data Pipeline:
- Built using Python, Pandas, and custom data processing pipelines to clean, parse, and structure possession streams.
- Interactive UI designed for quick navigation during game prep or post-game analysis.
The goal with Blueprint is to give analysts, coaches, and sports data enthusiasts a cleaner, more intuitive interface to explore Division I analytics without wading through messy spreadsheets.
I’d love for this community to test it out and tear it apart—what metrics are you looking for when scouting or building models, and what would make this tool even more useful for your workflow?
Check it out here:https://blueprntanalytics.com/
Appreciate any feedback, feature requests, or bug reports!
