BetSetGo — probability-first sports betting model with a transparent, graded track record
These three figures cover the live published model only. Hit rate is 1,000 graded events; the return and CLV above it are a separate, smaller population — 152 tennis picks · 68 days, which is what the bot staked rather than everything it forecast. The much larger sample on the accuracy page also scores the walk-forward floor, which is the model without news or calibration. Two populations, not two answers.
A model that prices fixtures the way the books do, runs all day across every major league, and shows you where its number disagrees with theirs. Every bet is graded. Every prediction is shown. No hype.
The model's combo for today. Quarter-Kelly stake on a $1,000 bankroll.
- 01+61.9%1.01nba · Moneyline — Detroit Pistons
- 02+16.9%1.52tennis · Moneyline — Arthur Fils
- 03+12.0%1.40tennis · Moneyline — Alexander Zverev
▸ Live edges
No book odds — the bot cannot price anything. An edge is the model's probability against the book's. 0 of 15 upcoming analyses currently carry book odds, so there is nothing to compare against and no pick can be made. Our odds provider's monthly request budget is used up, so no new prices are coming in until it resets or is raised. Treat the +EV surfaces as offline rather than as empty — this is not the model declining to bet. Meanwhile the model is publishing tomorrow's slate with 5 ranked combo tickets — that's the surface to use today.
Track it yourself. Save picks, watch the curve for thirty days. Decide.