How SnapBet AI Predictions Work

Every fixture on SnapBet runs through two independent prediction models, and we surface both side by side. Neither is a "secret sauce" — both are statistical engines that take what we know about the match and output a probability for each outcome (home, draw, away).

V1 (consensus) is the baseline. It blends recent form, head-to-head history, and market consensus into a single confidence score. It's stable and well-tested across many leagues.

V3 (Sharp Intelligence) is a 90-day fresh-era model that adapts to current form more aggressively. In leagues where the meta shifts quickly (a manager change, an injury wave), V3 tends to catch the new pattern faster than V1.

For any given fixture, the page shows you both numbers and — when one model has been meaningfully more accurate on that team's recent matches — flags which one to weight more. Sample size matters: we only show a "Recommended" badge when one model leads by at least 5 percentage points over 10 or more settled matches.

Picks aren't predictions of certainty. A 65% confidence pick still loses 35% of the time. The flat-stake tracker at /performance records every premium-qualified pick — wins and losses — so you can audit what the model has actually done.

For the full technical methodology, including how we score picks and what counts as "premium-qualified", see /methodology.