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Methodology

We believe in showing our work. Here's a plain-English breakdown of how every MatchEdge AI probability is generated.

Team strength

Each nation has an overall strength score combining historical performance, squad quality and competition tier.

Elo-style rating

Ratings update after every international fixture. Wins against higher-rated opposition move ratings more than wins against weaker opponents.

Expected goals (xG)

Attacking and defensive xG distributions are estimated per team, then combined into a match-level scoreline simulation.

Recent form

More recent matches carry more weight. Form is a decay-weighted average of result quality and opponent strength.

Venue context

Host advantage, travel distance and altitude are modeled per fixture using historical World Cup base rates.

Uncertainty

Every prediction is sampled across thousands of simulations to capture variance. Outputs include a confidence score.

Fair odds

Decimal odds are derived directly from model probabilities. No bookmaker margin is applied — these reflect the model's view.

Model confidence

Low / medium / high tiers based on input sample size and prediction variance. Low confidence means treat the output with extra caution.

What this is not. MatchEdge AI is not a tipster service. We do not promise winning bets, sure things, or guaranteed profits. Probabilities are model estimates with inherent uncertainty. Football is unpredictable — that's part of why we love it.