Handicapping NBA totals, or the over/under on the combined score of a game, often begins with a simple look at how many points teams score and allow per game. While this is a decent starting point, it fails to account for a critical element of basketball: the speed at which the game is played. To gain a more accurate understanding of a team’s scoring potential, bettors can turn to more advanced metrics. The combination of NBA pace and efficiency provides a much clearer picture of how a game is likely to unfold, offering a more sophisticated method for projecting game totals.
By moving beyond basic points per game and incorporating pace, offensive rating, and defensive rating, one can create a foundational projection for any matchup. This approach removes the noise created by teams that play exceptionally fast or slow, focusing instead on their actual effectiveness on a per-possession basis. Understanding these concepts is a fundamental step toward making more informed betting decisions on NBA totals.
Using Pace & Efficiency (Off/Def Rating) to Handicap NBA Totals
What is Pace in the NBA?
Pace is a metric that measures the number of possessions a team uses per 48 minutes. In simpler terms, it quantifies how fast a team plays. A team with a high pace factor runs the floor, pushes the ball after rebounds, and often looks for a shot early in the shot clock. Conversely, a team with a low pace factor plays a more deliberate, half-court style, using more of the shot clock to find the best possible look.
Relying solely on points per game can be misleading. For instance, two teams might both average 115 points per game. However, one team might achieve this by playing at a very high pace (e.g., 105 possessions per game), while the other does it at a slower pace (e.g., 98 possessions per game). The slower team is actually more efficient at scoring, a crucial detail that is lost without considering pace. Pace provides the necessary context for a team’s offensive and defensive statistics.
Understanding Offensive and Defensive Efficiency (Rating)
While pace tells us how fast a team plays, efficiency ratings tell us how good a team is during those possessions. These metrics are typically expressed as points per 100 possessions, which standardizes the data and allows for a true apples-to-apples comparison between teams, regardless of their pace.
- Offensive Rating (OffRtg): This is the number of points a team scores per 100 possessions. It is the single best measure of a team’s scoring ability. A team with a high offensive rating is effective at converting its possessions into points.
- Defensive Rating (DefRtg): This is the number of points a team allows per 100 possessions. It is the ultimate measure of a team’s defensive prowess. A low defensive rating indicates an elite defensive team that makes it difficult for opponents to score.
By using these efficiency ratings, you can analyze how effective Team A’s offense is against Team B’s defense on a standardized, per-possession basis. This forms the core of projecting a game’s total score.
Putting It All Together: A Step-by-Step Calculation
With an understanding of NBA pace and efficiency, it is possible to create a baseline projection for a game’s total. This formula adjusts each team’s efficiency based on the quality of their opponent and then applies the projected game pace to arrive at a final score.
- Project the Game Pace: The simplest method is to find the average pace of the two teams involved in the matchup. Add Team A’s pace and Team B’s pace, then divide by two. This gives you an estimated number of possessions for the game.
- Calculate Each Team’s Projected Points Per Possession: To do this, you need to factor in both a team’s offense and its opponent’s defense. A common way to project this is to multiply Team A’s Offensive Rating by Team B’s Defensive Rating and then divide by the league’s average efficiency rating. This number is then divided by 100 to get points per possession.
- Project Each Team’s Score: Multiply the projected game pace (from Step 1) by each team’s projected points per possession (from Step 2). This will give you a projected final score for both Team A and Team B.
- Determine the Projected Total: Add the two projected scores together. This final number is your baseline projection for the game total, which you can then compare to the sportsbook’s posted total.
Example Calculation: Warriors vs. Kings
Let’s use some hypothetical but realistic numbers to see how this works in practice. Assume the league average efficiency is 115.0 points per 100 possessions.
| Team | Pace | Offensive Rating | Defensive Rating |
| Golden State Warriors | 102.5 | 118.0 | 114.0 |
| Sacramento Kings | 101.5 | 119.0 | 117.0 |
Following the steps outlined above:
- Projected Pace: (102.5 + 101.5) / 2 = 102.0 possessions
- Projected Warriors Efficiency: (118.0 * 117.0) / 115.0 = 120.0 points per 100 possessions, or 1.200 points per possession.
- Projected Kings Efficiency: (119.0 * 114.0) / 115.0 = 117.9 points per 100 possessions, or 1.179 points per possession.
- Projected Score:
- Warriors: 102.0 possessions * 1.200 PPP = 122.4 points
- Kings: 102.0 possessions * 1.179 PPP = 120.3 points
- Projected Game Total: 122.4 + 120.3 = 242.7 points
With this baseline of 242.7, you can now compare it to the sportsbook’s line. If the total is set at 238.5, this calculation suggests there is value on the over. If it is set at 246.5, it suggests value on the under.
Important Factors Beyond the Numbers
This quantitative approach provides an excellent statistical foundation, but it should not be the only tool used. Basketball games are played by people, not spreadsheets, and several qualitative factors can influence the final score. Always consider these elements before placing a wager:
- Injuries: The absence of a key offensive or defensive player can dramatically alter a team’s efficiency and pace.
- Schedule and Fatigue: Teams playing on the second night of a back-to-back or at the end of a long road trip may play at a slower pace and with less defensive intensity.
- Recent Trends: Is a team on a hot shooting streak, or has their offense gone cold over the last few games? Recent performance can sometimes be more telling than season-long averages.
- Matchup Specifics: Some teams simply match up well or poorly against others, regardless of their overall season stats. Historical head-to-head results can offer valuable insight.
