Private Beta - Quantitative Sports Modeling

Stop buying picks. Start building your own edge.

StatSniffer is a multi-sport probability engine that measures model probability against market probability to identify structured advantage.

Build disciplined positions across MLB, NCAA Basketball, Tennis, and Golf using transparent modeling and edge grading.

  • Model % vs Market % (normalized)
  • Advantage grading + disciplined 3-leg builds
  • Audit trail for tracking performance
View Methodology
Request Beta Access Enter the Lab

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Approvals reviewed daily.

Analytics software only - not a picks feed.

Under the Hood

Signal Engine

Model % vs Market % with normalized probability conversion.

Structured Edge Builder

Optimized multi-leg construction (typically 2-3 legs) using measurable advantage thresholds.

Audit Trail

Transparent ledger system for tracking performance and methodology.

How It Works (15 Seconds)

Model Probability

What the Lab projects - chance the outcome clears.

Market Probability

What the market implies - converted to true probability.

Advantage

Model % - Market %. Positive means measurable edge.

Build Structure Guidelines: Core 1-2 legs | Structured 3 legs (recommended) | Aggressive 4-5 legs

Quick rule: +3% or higher -> Core candidate | 0-3% -> Selective | <=0% -> Skip

Example: Model 58% | Market 52% -> Edge +6%