Points per game is the most visible NBA statistic, but it tells you almost nothing about team quality. A team scoring 118 points in a fast-paced game is not necessarily better than one scoring 105 in a slow one. Per-possession metrics strip away pace and reveal true efficiency.
The Core Metrics
Offensive Rating (ORtg)
Points scored per 100 possessions. The 2024-25 NBA average is approximately 113. A team with ORtg 118 is elite; one below 108 is struggling offensively.
Defensive Rating (DRtg)
Points allowed per 100 possessions. Lower is better. An elite NBA defence holds opponents below 108 per 100 possessions.
Net Rating
ORtg minus DRtg. This is the single most predictive metric for NBA team quality. Teams with net rating above +5 are genuine title contenders. Teams below -5 are lottery-bound.
Pace
Possessions per 48 minutes. The NBA average is around 99. High-pace teams (103+) push the ball constantly; slow teams (95 or below) grind through half-court sets.
Applying Analytics to Betting
Spread Betting
Net rating is the gold standard for spread analysis. If a team's net rating suggests they should be 5 points better than their opponent per 100 possessions, and the spread is only -3, there may be value.
However, adjust for home court (+3 points on average), rest days, and back-to-back scheduling. NBA teams on the second night of a back-to-back see their net rating drop by approximately 2-3 points.
Over/Under Totals
Pace is the critical variable. A game between two 103-pace teams at 230.5 total may look high, but the math supports it: roughly 206 possessions at an average of 1.13 points per possession = 232.8 expected points.
The Four Factors Edge
When the market focuses on headline stats, dig into the Four Factors. A team shooting poorly from three but winning the offensive rebounding battle is generating more second-chance points than the surface stats suggest. This underlying quality often takes weeks to show up in win-loss records.
Practical Workflow
Before betting any NBA game: (1) check net rating for both teams over their last 15 games, (2) check pace to project total possessions, (3) review Four Factors for both teams, (4) adjust for rest, travel, and key player availability. This framework produces better projections than raw win-loss records or points per game.