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What happens to WNBA players' stats when a teammate sits?

When rotation players miss a game, the teammates who play get about 10% more minutes, but their per-minute scoring does not reliably improve. The extra production comes almost entirely from extra floor time, which is the opposite of what usage-bump intuition suggests (2026 season, 3,401 walk-forward samples, study run 2026-08-07).

The measurement

Every 2026 team-game, each player's minutes and scoring rate compared to their own prior baseline, split by how many baseline minutes were absent that night:

Absent baseline minutesMinutes vs baselinePoints/min vs baseline
none0.9750.928
0-150.9780.906
15-300.9990.971
30-501.0360.909
50+1.0751.010

Minutes climb monotonically with the size of the absence: +10.3% from a full-strength night to a 50+ minute hole. The per-minute scoring column bounces with no pattern: whatever rate bump exists is not consistent enough to project. Rebounding rate actually dips slightly (-3.2% at 50+).

Why this matters for reading a shorthanded game

A team always plays exactly 200 player-minutes with a median of exactly 10 players. When 60 baseline minutes vanish, they spread broadly across the remaining roster rather than concentrating in one hero. The right expectation for "X is out tonight" is: several teammates each play a few more minutes at their normal rates, not one teammate becoming a different player.

What the model does with it

Our projections redistribute minutes across the top of the healthy rotation when players are ruled out, and deliberately do not inflate anyone's per-minute rates. We tested the rate-boost version; it made projections worse. Minutes are the signal, rates are the noise.

FAQ

Who benefits most when a WNBA star sits?

The players whose minutes were most constrained, not necessarily the second star. The gain is spread across the rotation, and per-minute efficiency stays close to each player's normal level.

Should I bet teammate overs when a star is out?

Books shade lines for absences too. The measured effect is a minutes effect of about 10% at the extreme, so an over that needs a usage explosion is asking for something the data says rarely arrives.

All figures are measured against real box scores by the same pipeline that ingests the games. Information only, not betting advice. Methodology guide.