Gain an edge over sportsbooks using next-gen analytics.
State of the art models for props using video data.
Predictions from video tracking for Basketball
We generate player prop predictions with data from computer vison for video tracking of basketball games from the NBA, WNBA, and NCAA
Expected Possession Value/Expected Points
We track the expected probabilities of scoring for every shot taken on the field, calculated using player movements, player shooting histories, defensive movement, locations on the court, and much more.
Expected Points for Shots- Better representations of player box scores
- Comparison against betting lines
Compare our predictions against the line
Using the novel tracking data, we generate predictions for all players with a given prop line in sportsbooks. Not only that, but we give model information and confidence metrics as a form of signal to help you make the best betting decisions.
- Predictions that beat the line on average
- Model Metrics and Confidence for Signal
- Measure our model results for each player
Model Backtests and Historical Results
Use our backtesting tool to see how our model has performed in the past. Filter based off model metrics to see the PnL and model win rates. Once you isolate a winning signal, look for the same metrics posted in current predictions.
- Identify when Vegas is misvaluing a line
- See model performances updated in real time
- Filter on date, books, confidence, and much more
Find what players have correlated results
Use statisticals tests to figure out if players have a positive or negative correlation between their results for points, rebounds, and assists. We give the direction of the correlation and its significance.
- Calculate correlated lines for parlays and lineups
- Isolate strength and significance of correlations
- Compare past player results with each other
Our Line Generation Process
A complex video tracking setup that gives us an edge over sportsbook props
Video Tracking
We ingest videos of games and use computer vision to track and identify players on the court. From there, we create our proprietary data.
Prediction Generation
We feed the tracking data with other stats into our prediction engine which creates models for each player. Filtering over 100 features with an advanced modeling process, we outperform current lines.
Backtesting
We backtest our models on historical data to ensure they are profitable. We use statistical tests and filters on model metadata to see where we have the strongest edge.
Beat the books today
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