A Complete Picture of Your Odds Quality
Your audit report is not a teaser or a sales pitch. It is a detailed, actionable analysis covering every dimension of odds quality.
How closely your odds track the consensus fair value derived from 50+ bookmakers using Shin de-vig methodology. Measured as mean absolute deviation across all markets.
How quickly your odds respond to market movements. We measure the time gap between consensus shifts and your corresponding adjustments, sport by sport.
Breadth and depth of your market offerings compared to the full set of available markets across your covered sports and leagues.
Frequency and severity of statistical outliers in your odds. Lower anomaly rates indicate more consistent, reliable pricing across your book.
Internal consistency of your odds across correlated markets (e.g., 1X2 vs. Asian handicap vs. totals on the same match). Inconsistencies signal pipeline or model issues.
Where your odds sit relative to the sharpest books in the market. Understand whether you are leading, following, or lagging the market.
- Composite quality score (0-100)
- Scores for all 6 analysis dimensions
- Sport-by-sport breakdown
- Market-type analysis (ML, spreads, totals)
- Anomaly examples with explanations
- Peer comparison (anonymized)
- Prioritized improvement recommendations
- Methodology transparency appendix
Three Steps to Odds Clarity
Your Data Is Safe With Us
We understand that odds data is commercially sensitive. Our audit process is designed with enterprise-grade security and privacy from the ground up.
All data transfers are encrypted with TLS 1.3. Feed credentials, if provided, are stored in encrypted vaults with access logging and automatic expiration.
We are happy to execute a mutual NDA before you share any data. Standard NDA templates are available for immediate signing, or we can work with your legal team's preferred format.
Once your audit report is delivered, all raw odds data is permanently deleted from our systems. We retain only aggregate quality scores for your reference, never your raw data.
