Riding a Heater
Sports Betting 101
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How to Use Advanced Stats in NBA Betting

Move beyond the box score and unlock significant value by incorporating advanced statistics like PER, Offensive/Defensive Rating, and True Shooting Percentage into your NBA betting strategy.

How to Use Advanced Stats in NBA Betting

In the modern NBA, the box score only tells part of the story. Advanced statistics have revolutionized the way we analyze the game, providing a deeper and more nuanced understanding of player and team performance. For bettors, these metrics are not just interesting numbers; they are powerful tools that can unlock significant value and provide a crucial edge. This guide will introduce you to some of the most important advanced stats and show you how to incorporate them into your NBA betting strategy.

Beyond the Basics: Why Advanced Stats Matter

Traditional stats like points, rebounds, and assists are useful, but they can be misleading. They don't account for factors like pace of play, playing time, or offensive and defensive efficiency. Advanced stats, on the other hand, are designed to provide a more accurate and context-rich picture of performance.

For example, a player who scores 20 points in a fast-paced game is not necessarily more effective than a player who scores 15 points in a slow-paced game. Advanced stats can help us differentiate between these two players and identify who is truly making a greater impact.

Key Advanced Stats for Bettors

Here are some of the most important advanced stats that every NBA bettor should know:

  • Player Efficiency Rating (PER): Developed by John Hollinger, PER is a measure of a player's per-minute production, adjusted for pace. It combines all of a player's positive and negative contributions into a single number. A PER of 15.0 is considered league average.
  • Offensive and Defensive Rating: These stats measure a team's efficiency on both ends of the floor. Offensive rating is the number of points a team scores per 100 possessions, while defensive rating is the number of points a team allows per 100 possessions. The difference between these two numbers is a team's net rating, which is a good indicator of their overall strength.
  • True Shooting Percentage (TS%): This stat measures a player's shooting efficiency, taking into account two-point field goals, three-point field goals, and free throws. It is a more accurate measure of scoring efficiency than traditional field goal percentage.
  • Usage Rate: This stat measures the percentage of a team's possessions that a player uses while they are on the floor. A high usage rate can be a good thing, but it can also be a sign of inefficiency if the player is not a good scorer.

Applying Advanced Stats to Betting

Now that you know some of the key advanced stats, let's look at how you can use them to make more informed betting decisions:

  • Identify undervalued and overvalued teams: A team with a strong net rating but a poor win-loss record may be a good candidate for a "buy low" bet. Conversely, a team with a weak net rating but a good win-loss record may be a good candidate for a "sell high" bet.
  • Find value in player props: Advanced stats can be a goldmine for player prop bettors. For example, you can use a player's usage rate and true shooting percentage to project their scoring output.
  • Predict game totals: By analyzing the offensive and defensive ratings of both teams, you can get a good idea of how many points are likely to be scored in a game. This can be a valuable tool for betting on game totals (over/under).

A Mathematical Approach

Advanced stats are inherently mathematical, but you don't need to be a math whiz to use them. Many websites and services provide advanced stats for free. However, if you want to take your analysis to the next level, you can use a simple regression model to predict game outcomes based on advanced stats. For example, you could use a model like this to predict the point differential in a game:

Point Differential = a + b * (Team A Net Rating) - c * (Team B Net Rating) + ...

In this model, the coefficients "b" and "c" would represent the impact of each team's net rating on the point differential. By plugging in the net ratings for two teams, you can get a predicted point differential, which you can then compare to the point spread to find value.

Conclusion: The Future of NBA Betting

Advanced stats are no longer a niche interest; they are an essential part of modern basketball analysis. For bettors, they provide a powerful set of tools for identifying value, predicting outcomes, and gaining a significant edge over the market. By incorporating these metrics into your handicapping process, you can move beyond the box score and start betting like a pro.

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Expected Value + Kelly Criterion + Monte Carlo — the same math from MIT and Bell Labs.