Market Signals
Real-time model-generated market inefficiencies identified by the StatsEdge predictive system. Not picks. Not locks. Analytical signals powered by data.
Today's Market Signals
- Market overreacting to recent performance variance
- Pace mismatch increases scoring opportunity
- Opponent defensive regression detected
- Sharp money indicators confirm model direction
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How Signals Are Generated
Edge Calculation
Example: If our model gives a team 57% win probability, but the sportsbook implies 51%, that's a +6% edge.
Signals below 1% edge are automatically discarded.
Model Consensus Requirement
To avoid model bias, signals only trigger when 3+ model layers confirm the edge:
- Historical simulation model
- Matchup analysis model
- Injury-adjusted model
- Market movement model
- Closing line prediction model
Signal Grading Tiers
Elite edge - highest confidence plays
Strong edge - above average signals
Moderate edge - standard signals
Lean - small edge, minimal exposure
Market Efficiency Filters
Highly efficient markets require higher edge thresholds. Our system adjusts minimum edge requirements by market type:
| Market Type | Min Edge Required | Market Efficiency |
|---|---|---|
| NFL Spread | 3% | High |
| NBA Spread | 2.5% | High |
| MLB Moneyline | 2.5% | Medium |
| Player Props | 4% | Low |
| Same Game Parlays | 6% | Very Low |
Understanding Market Signals
Market Signals represent real-time model-generated betting market inefficiencies. They are not picks or guaranteed plays. Each signal shows where our predictive models identify potential value based on market data, line movement, and historical patterns.
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