Framework-driven edge finding
Three independent statistical models — MI Bivariate Poisson, Dixon-Coles, and Elo — plus xG and odds data converge on a single picks surface. When frameworks agree, that's the edge.
Single-model analysis is shallow
Most bettors rely on one model, one data source, or gut feel. They see one perspective and call it analysis. Real edges come from convergence — multiple independent models agreeing on the same mispricing.
What you do today:
- Checking 3+ betting sites to compare odds manually
- Following tipsters who never show their methodology
- Relying on one model that overfits to recent results
- Gut-feel betting dressed up as 'analysis'
Convergence is the signal
Three models built from different statistical foundations. When they agree, the signal is strong. When they disagree, you stay out.
MI Bivariate Poisson
Attack/defense strength ratings with correlated goal scoring.
Dixon-Coles Model
Time-weighted match results with low-score correction factors.
Elo Ratings
Dynamic team strength adjusted for home advantage and margin.
Single Picks Surface
All three models plus xG and market odds on one decision page.
Methodology
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