The problem
What needed to change.
Sports research becomes noisy quickly. Users need a clearer way to study player history, compare projections, record selections, and understand what actually performed.
LAB / 01 · EndPoint Labs
Sports Stat Tracker
A stats-first environment for studying projections, grading outcomes, and learning from results.
Data systemsDecision supportModel learning
The build
What EndPoint made.
A multi-sport research platform with projections, filters, personal boards, graded results, cloud data publishing, automated collection, and model feedback loops.
Current proof
Built far enough
to learn from.
- 01NBA, WNBA, MLB, NHL, and NFL layers
- 02Cloud dataset and admin publishing
- 03Results Lab and grading workflows
- 04Cross-device data continuity
Known boundary
What is not yet proven.
Automated data collection and model reliability remain under active validation; this is a research product, not betting advice.
The next endpoint