Calculateus

Basketball Per-36-Minutes Stats Calculator

Normalize a basketball player's counting stats to a per-36-minutes rate for fair comparison across different playing times.

Result

Points Per 36
22.9
Rebounds Per 36
9.8
Assists Per 36
6.5

About the Per-36 Stats Calculator

The Basketball Per-36-Minutes calculator scales a player's points, rebounds, and assists to the rate they would produce over 36 minutes of playing time, making it possible to compare a bench player's production to a starter's on an even footing. It is intended for anyone trying to judge a player's per-minute impact rather than their raw box score totals.

How It Works

You enter a player's points, rebounds, assists, and minutes played. The calculator computes a scaling factor of 36 divided by minutes played, then multiplies each counting stat by that factor to project what the player's production would look like across 36 minutes.

Scale = 36 / Minutes Played; Points Per 36 = Points x Scale; Rebounds Per 36 = Rebounds x Scale; Assists Per 36 = Assists x Scale

Formula & Methodology

36 minutes stands in for a typical starter's workload in a 48-minute game, so scaling any player's counting stats to that baseline removes playing time from the comparison. A reserve who scores 14 points in 22 minutes and a starter who scores 20 points in 34 minutes can be compared directly once both are projected to the same 36-minute rate, rather than the reserve's smaller raw total making their production look weaker than it actually is on a per-minute basis.

Examples

Efficient Reserve

A bench player who scores 14 points, grabs 6 rebounds, and dishes 4 assists in 22 minutes has a scale factor of 36/22, about 1.64, giving per-36 numbers near 22.9 points, 9.8 rebounds, and 6.5 assists.

Extended Sample for Comparison

A starter who puts up 20 points, 8 rebounds, and 5 assists in 34 minutes scales up more modestly to roughly 21.2 points, 8.5 rebounds, and 5.3 assists per 36, letting a direct comparison with the reserve above show who produced at the higher per-minute rate.

Advantages

  • Levels the comparison between players who receive very different amounts of playing time.
  • Highlights efficient low-minute performers who might otherwise be overlooked based on raw totals alone.
  • Applies to any combination of points, rebounds, and assists without needing a full box score.

Common Mistakes

  • Treating per-36 numbers from a very small minutes sample, like 3 or 4 minutes, as a reliable projection of full-game production.
  • Assuming a player would maintain identical efficiency and role if given significantly more playing time, ignoring fatigue and role changes.
  • Comparing per-36 numbers across players in very different roles, such as a low-minutes specialist versus a full-time starter, without considering why their minutes differ in the first place.

Edge Cases to Watch For

  • If minutes played is zero or negative, the calculator returns an error asking for a positive minutes value, since the scale factor is undefined at zero minutes.
  • Per-36 numbers are a linear projection that assumes a player's production rate would hold steady with more playing time, which is not guaranteed, especially for players who thrive in short, high-energy bursts.
  • Very low minute totals, such as a few minutes in garbage time, can produce inflated and unreliable per-36 numbers, since a small counting stat gets multiplied by a large scale factor.

Common Use Cases

  • Fans and analysts evaluating bench players or rotation candidates for expanded roles.
  • Fantasy basketball managers assessing a low-minutes player's upside if their role were to grow.
  • Coaches and scouts comparing prospects or reserves against established starters on a level per-minute basis.
Written & fact-checked by the Calculateus TeamLast updated August 5, 2026How we verify our formulas

Frequently asked questions

Why normalize stats to 36 minutes specifically?

36 minutes approximates a typical starter's playing time in a game, so scaling any player's stats to that rate lets you fairly compare a bench player who plays 15 minutes a game to a starter who plays 34, without the low-minutes player's raw totals looking artificially small.

Conclusion

Per-36 stats offer a straightforward way to compare production across players with unequal playing time, though the projection works best as a general guide rather than a guaranteed forecast. It is most informative when paired with context about role, sample size, and efficiency.