College Basketball Offensive Efficiency: How to Calculate and Read It

Offensive efficiency measures how many points a team scores per possession, usually expressed per 100 possessions. A rating of 115 means 1.15 points per possession—not 115 points per game and not a shooting percentage. Higher is better. KenPom’s glossary uses this per-100 scale.

The number separates scoring from pace. For college comparisons, the next question is whether it is raw efficiency against the opponents actually played or adjusted efficiency accounting for opponent strength. The KenPom examples below concern NCAA Division I men’s basketball; they are not benchmarks for the women’s game or other divisions.

The formula—and why pace matters

Offensive efficiency = points scored ÷ possessions × 100

Consider two hypothetical performances:

Team	Points scored	Offensive possessions	Points per possession	Offensive efficiency
A	72	60	1.20	120.0
B	80	75	1.067	106.7

Team B scores more points, but Team A gets more out of each possession. That is why points per game alone cannot identify the better offense: additional possessions create additional scoring opportunities.

Possessions are not the same as shot attempts. A turnover can end a possession without a shot, while an offensive rebound keeps a possession alive for another attempt.

Estimating possessions from a college box score

Ken Pomeroy’s published possession estimate is:

Estimated possessions = FGA − offensive rebounds + turnovers + (0.475 × FTA)

FGA means field-goal attempts; FTA means free-throw attempts. Offensive rebounds are subtracted to avoid counting another shot within the same possession as a new possession.

The free-throw multiplier is an estimate, not a rule that every free throw consumes 0.475 possessions. A two-shot trip and an additional free throw after a made basket have different effects on possession counting. Pomeroy says the coefficient was derived from play-by-play data.

KenPom averages the two teams’ possession estimates for each game and applies that shared estimate to both teams. Its published glossary also describes averaging game efficiencies rather than simply dividing season points by season possessions, and using only games between Division I teams. A homemade season calculation therefore need not reproduce a provider’s rating exactly.

Raw efficiency vs. adjusted offensive efficiency

Raw efficiency describes scoring per possession against the schedule a team actually faced. Removing pace does not remove differences in competition: scoring efficiently against weak defenses is not the same challenge as doing so against strong ones.

Adjusted offensive efficiency, traditionally labeled AdjO in KenPom explanations, estimates what a team would score per 100 possessions against an average Division I defense. The 2026 KenPom ratings table labels the adjusted offensive column ORtg. Always check the provider’s definition rather than assuming every ORtg column is adjusted. KenPom’s glossary defines the opponent-adjusted measure.

Adjusted efficiency is a model estimate, not a box-score total you can recover with one division. KenPom’s methodology update also describes accounting for the national scoring environment on the date a game was played.

What is a good offensive efficiency in college basketball?

100 means exactly one point per possession; it does not automatically mean average. Judge a rating against the same season, level and provider—and compare raw with raw or adjusted with adjusted.

For concrete context, the completed 2025–26 Division I men’s season produced these adjusted offensive ratings on KenPom’s 2026 table:

• Nebraska: 119.5, ranked 47th offensively.
• Wisconsin: 125.2, ranked 10th offensively.
• Purdue: 131.6, ranked first offensively.

Those figures locate strong and elite offenses in that particular season; they are not permanent cutoffs. Purdue’s first-place offensive ranking also differed from its eighth-place overall ranking. Offensive efficiency measures one side of the ball, not total team quality.

What explains a high rating?

Efficiency tells you the scoring result. The four factors help explain how a college offense produces it:

• Effective field-goal percentage: shooting production, with extra credit for made threes. See the eFG% formula and explanation.
• Turnover percentage: how often possessions are lost to turnovers.
• Offensive rebounding percentage: how often the offense collects available rebounds and extends possessions.
• Free-throw rate: free-throw attempts divided by field-goal attempts in KenPom’s definition. Free-throw accuracy then affects the points those attempts yield.

When comparing two college offenses, start with their same-season adjusted ratings, then inspect these components. Similar efficiency can come from very different combinations of shooting, ball security, second chances and free throws.