How Quantiori Works
Multiple mathematical layers working together. Every signal is generated before kickoff and tracked publicly.
Probabilistic Scoring Model
We build a full probability distribution for every match — covering all possible scorelines, goal totals, and outcomes. The model uses multiple statistical inputs including expected performance metrics, team strength ratings, and seasonal form data across 30+ leagues.
Multi-Source Blend
Our model probabilities are blended with market-derived probabilities using a Bayesian framework. This calibration step ensures our outputs are anchored to real-world market efficiency while still capturing genuine mispricing.
Value Detection Engine
Every match is screened for positive expected value. We compare our probabilities against available odds, and only signal when the mathematical edge exceeds our league-specific thresholds. Stake sizing is determined algorithmically — no manual intervention.
Contextual Analysis
An AI layer reviews injuries, lineup changes, tactical context and anomaly patterns. It does not override mathematical decisions — it flags potential risks and adds qualitative context to the quantitative output.
Public Verification
Every signal is timestamped on our server before the match starts. Results — wins and losses — are tracked automatically and displayed publicly. No retroactive editing, no hidden losses. Our track record speaks for itself.
Important Disclaimer
Statistical edge does not guarantee profit on every bet. Variance is real. Never bet more than you can afford to lose. Visit BeGambleAware.org if gambling is affecting you.