A data-driven approach to point spread analysis
Successful spread betting isn't about picking winners - it's about finding spreads that don't accurately reflect the true difference between teams.
"Is this spread too high or too low based on my analysis?"
Expected Points Added (EPA) is the foundation of modern spread analysis. Here's how to use it:
Team Strength = Offensive EPA/play - Defensive EPA/play allowed
NFL teams average about 60-65 plays per game. Use this to estimate point differential:
Expected Margin ≈ (EPA Diff) × 60 plays
Home field advantage in the NFL has declined but still exists:
Final estimate: If Team A is home: 15.6 + 2.5 = 18.1 points
If the spread is Team A -14, and your model says -18, you have a potential edge on Team A.
If the spread is Team A -21, you might have value on Team B +21.
Certain margins occur more frequently in NFL games. Understanding key numbers is critical for spread betting.
Only buy points through key numbers (3 and 7). Buying from -5 to -4.5 rarely provides value - the cost outweighs the benefit.
| Situation | Historical Edge | Why It Works |
|---|---|---|
| Road dogs +3 to +10 | +2-3% | Public overvalues home teams |
| Dogs after blowout loss | +1-2% | Market overreacts to one game |
| Unders in cold weather | +1-2% | Passing games suffer |
| Home dogs | +1-2% | Public loves road favorites |
Create point values for each team based on EPA, DVOA, or your own metrics
Team A rating - Team B rating + home field adjustment
Rest, travel, weather, injuries, motivation
If your line differs by 2+ points, investigate further
Keep records, calculate CLV, adjust weights over time
Use our tools to find value and size your bets optimally.