Model Proof

Proof signals we care about

• Closing-line value: whether the published price beats the later market close.
• Price availability: whether a reader could reasonably find the number when the pick was released.
• Sample size: whether a win-rate snapshot is large enough to deserve confidence.
• Void and push handling: whether canceled markets are separated from wins and losses.

What proof does not mean

Proof does not mean guaranteed profit. Sports are volatile, odds move quickly and no model can remove randomness. A strong proof process shows whether decisions are repeatable and price-aware, not whether every individual bet will win.

How this connects to the 83.3% claim

When SportsBettingAI.AI displays a win-rate snapshot, it should be read with the track-record rules: qualified plays only, specific window or sample, clear market grading and no promise that the same rate will continue.