New Orleans Saints vs Pittsburgh Steelers
Sun, 13:30
Majority verdict: Pittsburgh Steelers — 3 of 3 models agree after 200 simulations each (avg 57.7% simulated frequency).
AI match previewModel output, not betting advice. 18+
Three models. One majority verdict.
BetClaim runs a final-outcome model, a correct-result model and an over/under model on every fixture. Each model plays the match 200 times in a Monte Carlo simulation, casts its verdict from those simulations, and the site only publishes what the majority agrees on.
AI top 5 bets
Five games, one advised outcome each: the bet the models saw happen most often across their simulations. The list is rebuilt every hour.
Five games, one advised bet each — the strongest outcome from 200 simulations per model. Next refresh in 54 min.
All 3 models agree. The bet landed in 71% of 200 simulated matches.
All 3 models agree. The bet landed in 64% of 200 simulated matches.
All 3 models agree. The bet landed in 65% of 200 simulated matches.
All 3 models agree. The bet landed in 63.5% of 200 simulated matches.
All 3 models agree. The bet landed in 64% of 200 simulated matches.
Picks are statistical model output, not guarantees. Bet responsibly — 18+. Gambling can be addictive.
AI bet predictions
Each card shows what all three models found across 200 simulations each, how strongly they agree, and the best available price for the outcome. 2 of 3 models must agree before a verdict is published.
Sun, 13:30
Majority verdict: Pittsburgh Steelers — 3 of 3 models agree after 200 simulations each (avg 57.7% simulated frequency).
AI match previewModel output, not betting advice. 18+
Sun, 11:30
Majority verdict: Internazionale — 3 of 3 models agree after 200 simulations each (avg 44.5% simulated frequency).
AI match previewModel output, not betting advice. 18+
Sun, 13:00
Majority verdict: Athletic Club — 3 of 3 models agree after 200 simulations each (avg 45.0% simulated frequency).
AI match previewModel output, not betting advice. 18+
Sun, 13:30
Majority verdict: Taylor Fritz — 3 of 3 models agree after 200 simulations each (avg 45.7% simulated frequency).
AI match previewModel output, not betting advice. 18+
Sun, 13:30
Majority verdict: Tomas Machac — 3 of 3 models agree after 200 simulations each (avg 44.7% simulated frequency).
AI match previewModel output, not betting advice. 18+
Sun, 13:00
Majority verdict: Konyaspor — 3 of 3 models agree after 200 simulations each (avg 40.2% simulated frequency).
AI match previewModel output, not betting advice. 18+
Sun, 12:00
Majority verdict: Lukas Neumayer — 3 of 3 models agree after 200 simulations each (avg 43.2% simulated frequency).
AI match previewModel output, not betting advice. 18+
Sun, 13:30
Majority verdict: NEC Nijmegen — 3 of 3 models agree after 200 simulations each (avg 37.5% simulated frequency).
AI match previewModel output, not betting advice. 18+
The ensemble
All models are computed server-side from real market data — the numbers never come from a language model.
Strips the bookmaker margin from the live DraftKings line, then plays the match 200 times and counts who wins the simulations.
Votes: 1 / X / 2A Poisson goal grid fitted to those fair probabilities, then 200 simulated matches to find the most common exact score — or set and supremacy simulations for tennis, basketball and the rest.
Votes: the side of the top scorelineAn expected-totals model that plays out the totals line 200 times — 2.5 goals for soccer, sets for tennis, points and rounds for the rest — and counts the clears.
Votes: the favoured side of the totals swingEach model runs 200 simulations, then casts one vote on the final outcome. The ensemble publishes the majority pick — and stamps it with a confidence score built from model agreement, conviction and market coverage. When the models split, the card says so honestly.
Three models, every match, one honest verdict — with the majority stamped on every card.
View the live predictions18+ · Model output is informational, not betting advice · Gamble responsibly
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