Edge Filter:
WagerCast runs a dual logistic regression model trained on 700+ races, then compares our predicted win probability to the morning line implied probability. Positive edge means the market is undervaluing that horse — and you see exactly how much.
We analyze 1,600+ GPS charts to find the winning "shape" of every track. If stalkers win 67% of the time at this distance, we flag it—and penalize the speed traps.
Our "Must-Bet" logic combines score gaps, field size, and value-edge to isolate high-conviction plays. It’s not just a pick; it’s a data-backed betting strategy.
Identify favorites priced at 9/5 that the model ranks 3rd or lower. We don't just find winners; we systematically avoid the public's most overvalued traps.
See where the model's win probability beats the morning line. Full edge %, both model probabilities, and every supporting data point.
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