Nightly NBA predictions — with receipts.
Three machine-learning models pick every NBA game. Every prediction is logged, scored against the real result, and published — hits and misses alike.
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How it works
1
Box scores in
Every game's team stats — shooting, rebounding, hustle, tracking.
2
Rolling form
Each team's recent play, distilled into rolling features.
3
Three models
A random forest, gradient boosting and a neural net each pick a winner and a margin.
Want the longer version — data, models, the nightly cycle? How HoopModel works →