Advanced Theory
advanced12 min read
Building a Sports Betting Model: A Step-by-Step Framework
How professional bettors build statistical models to find value. A practical framework you can start using today.
Why Build a Model?
A betting model is a systematic way to estimate the true probability of outcomes. Instead of relying on gut feelings, you use data to make decisions. This is how professionals operate.
The Framework
Step 1: Choose Your Market
Start narrow. Don't try to model everything at once.
- Pick one sport
- Pick one bet type (moneyline, spread, total, or props)
- Pick one league
Step 2: Identify Key Variables
What factors predict the outcome? Examples for NFL:
- Offensive and defensive efficiency (DVOA, EPA)
- Turnover rates
- Home/away performance
- Rest days
- Weather
- Injuries
Step 3: Collect Data
Sources for historical data:
- Pro Football Reference, Basketball Reference
- ESPN, NFL.com stats pages
- Specialized APIs (paid and free)
Step 4: Build Your Model
Start simple:
Power Rating Model:
- Assign each team a rating based on performance metrics
- The difference in ratings predicts the spread
- Compare your predicted spread to the market
Example:
- Chiefs rating: +5.2
- Eagles rating: +2.1
- Home field advantage: +2.5
- Predicted spread: Chiefs -5.6
- Market spread: Chiefs -3.5
- Your model sees value on Chiefs -3.5
Step 5: Backtest
Test your model against historical data:
- Would it have been profitable?
- What's the sample size?
- Is the edge consistent across seasons?
Step 6: Track Live Performance
- Paper trade first (track without real money)
- Compare your predictions to closing lines
- Measure CLV over 500+ predictions
Common Mistakes
- Overfitting — Making your model too complex to fit historical data perfectly. It won't work on future data.
- Ignoring the market — The market is smart. If your model disagrees by 10+ points, your model is probably wrong.
- Small sample sizes — Don't trust results from fewer than 200 predictions.
- Not accounting for vig — Your model needs to beat the spread AND the juice.
Realistic Expectations
- A good model might find 2-5% edge on select games
- You won't have a bet on every game — maybe 20-30% of games offer value
- Expect 52-56% win rate on spread bets
- Profitability requires discipline and patience
