How results are graded
Settled picks are tracked as wins, losses, pushes, voids, or pending. P/L, win rate, confidence buckets, sport, market, and source quality can all be reviewed.
BetSignal's results layer is built to keep the model accountable: picks are graded, performance buckets are reviewed, and close-line value is used as quality feedback.
Settled picks are tracked as wins, losses, pushes, voids, or pending. P/L, win rate, confidence buckets, sport, market, and source quality can all be reviewed.
If a confidence bucket, sport, prop type, source, or book-depth profile performs poorly, it can be recalibrated or filtered so future boards are stricter.
Transparent results help users avoid blind confidence chasing and focus on markets where the model has shown better long-term behavior.
Public pages explain the grading process. Paid dashboard users can see result boards, model health, CLV stats, P/L, and source-quality context.
Wins decide today, but CLV helps measure whether the price was good. A model that regularly beats the closing line is usually finding better numbers.
Yes. That is why BetSignal tracks performance by bucket and can recalibrate confidence instead of assuming higher confidence always means better results.