Build. Backtest. Deploy.
Create your model, test it against years of historical data, and get notified every time an upcoming game matches the criteria.
Set the foundation
Pick your league, bet type, and subject — this shapes every condition and stat that follows. You can build separate models for each angle you want to test against.
Add your conditions
Begin building your model by choosing from a list of 200+ conditions. Combine anything from market signals, team statistics, matchup edges, or weather conditions. Your model only fires when all of the conditions you set are true.
Backtest against historical data
Test your model against thousands of games over the last five seasons in seconds. Review the analytics to determine whether you’ve found something real or just a small run of luck.
Tested against 122 games over the last 5 seasons, this model is up 33.3 units. When all these conditions are met, the away team covers the spread 66.7% of the time, a wide margin over the profitability line and well beyond break-even. The result is statistically significant — the odds of this being chance are very low (p = 0.008).
Review your model’s performance
Every backtest provides a plain English explanation — you’ll see exactly what the model is testing against, how many games it’s been tested on, and whether the data clears the bar for statistical significance.
Get alerted when it fires
Your work here is done! Covrr monitors the board so you don’t have to. When an upcoming game meets every condition you saved, you get an alert with the matchup.