SportsBet Pro

NBA Advanced Player Prop Calculator

Analyze and compare no-vig probabilities and statistical predictions for player props with our professional tools

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Player Prop Calculator

No-Vig Probability Calculator

How to Use the Calculator

No-Vig Calculator

1. Find player prop odds from sportsbooks like FanDuel (search at sportsbook.fanduel.com/search)

2. Enter the American odds for both Over and Under (e.g., -122 for Over, +162 for Under)

3. Optionally enter the player name and stat type for reference

4. Click "Calculate No-Vig Probabilities" to see the true probabilities without the bookmaker's vig

5. Save results to compare with other methods

Statistical Prediction

1. Determine the projected mean (μ) for the player's performance (based on historical data or projections)

2. Enter the standard deviation (σ) or calculate it using historical data

3. Input the line value (X) you want to evaluate against

4. Optionally enter the player name and stat type for reference

5. Click "Calculate Statistical Probabilities" to see the predicted probabilities

6. Save results to compare with other methods

Compare Results

1. Calculate and save results from both methods above

2. Navigate to the Compare tab to view side-by-side analysis

3. The calculator will show probability differences and provide a recommendation

4. Use this comparison to identify potential value bets where methods disagree

About SportsBet Pro Calculator

No-Vig Probability

The no-vig calculator removes the bookmaker's margin (vigorish) to show the true implied probabilities of each outcome. This helps you understand the market's actual assessment of probabilities without the book's built-in advantage.

Statistical Prediction

Using the normal distribution formula, this method calculates the probability of a player exceeding or falling short of a given line based on their projected performance (mean) and consistency (standard deviation). The formula used is:

Probability Over = (1−Φ((X−μ)/σ))×100%
Probability Under = Φ((X−μ)/σ)×100%

Where Φ is the cumulative distribution function of the standard normal distribution.

Standard Deviation

Standard deviation (σ) measures how spread out a player's performance is from their average. A higher σ means more variability in outcomes. You can calculate σ by entering historical performance data for the player.

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