🏀 NBA Analytics
One of the deepest NBA betting datasets available to independent analysts. Opening lines, closing lines, scores, and spread results — all 30 teams, thousands of games tracked and modeled.
Historical Database
Most bettors work with whatever odds they can remember or scrape together manually. We've built a structured historical database covering thousands of NBA games across multiple seasons — with the granular data needed for serious analysis.
Every game stores both the opening spread (when first posted) and closing spread (at game time). Track market efficiency and measure closing line value on historical bets.
Line movement data shows when and how much each game's spread moved. Identify sharp steam moves, reverse line movement, and systematically late-moving games.
Against-the-spread results for every game let you backtest any angle — teams on rest, home/away splits, conference matchups, back-to-back games, and more.
Over/under data paired with final scores for pace analysis. Study how totals move and when books price totals efficiently versus when they don't.
AI Model Predictions
We're building an NBA prediction system trained on the full historical database — combining gradient boosted trees, a multi-task neural network, and Optuna-optimized ensembling to generate pre-game margin and win probability estimates.
GPU-accelerated gradient boosted trees trained on 95+ engineered features — rolling win rates, rest differentials, home/away splits, and market spread as a prior. Each model independently predicts point margin.
Q2 2026A deep residual network that jointly predicts margin (MSE) and win probability (BCE) from a shared representation. Trained with Mixup augmentation and hardware-accelerated mixed precision for fast, scalable inference.
Q2 2026Optuna-optimized weighted average of all three base models, with isotonic probability calibration. Final output: predicted margin + calibrated win probability. Compared against market spread to surface edges.
Q2 2026Injury Intelligence
Injury data is the most underutilized edge in NBA betting. Our pipeline tracks player availability for all 30 teams daily, enriching predictions with real lineup context.
Player availability status (out, doubtful, questionable) is pulled daily from official ESPN sources and stored with timestamps. No more hunting through beat reporters on Twitter.
Each team's missing PPG is calculated from season per-game averages. When a 28 PPG scorer is out, the model knows the lineup gap before you do the math manually.
Games where a 20+ PPG player is confirmed out are flagged prominently in the prediction output — these situations create the most line inefficiency and model edge.
Home vs. away healthy PPG differential — when one team is missing significant scoring, the market often underadjusts, especially for late-breaking injuries.
Live Dashboard
All data, all dashboards. No subscription required during our beta period.
All data for informational purposes only. Not financial advice. Please gamble responsibly.