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Wide Receivers: The Room Gains, but Not Predictably the Man You Expect

A receiver's production is driven by target share, which is one of the most reliable things we measure (0.93 between halves of a season). What is NOT reliable is guessing which receiver absorbs a vacated role.

The room's gain is predictable; the split is not

With a lead receiver out, the rest of the room gains +0.63 receptions each on average (t=11.19). But every candidate predictor of WHICH receiver gains correlates near zero: pecking order among the remaining receivers +0.021, similarity of route depth to the absent man -0.012, trailing snap share -0.0004. The gain is roughly uniform across the room at +0.035 to +0.048 of target share each.

Targets are redistributed; yards are not

With the lead receiver out, team pass attempts are unchanged (33.8 to 33.7) while team passing yards fall 8.4%. Replacements catch more balls for fewer yards each, and the bigger the absent receiver the more pronounced it is. That is the measurement-side reason receptions behave better than yardage when somebody is out.

A star second option absorbs LESS than a mid-tier one

Splitting by the beneficiary's own size, the gain is roughly flat in absolute receptions and the biggest receivers gain the LEAST — a star number two absorbs about half what a mid-tier number two does (+0.39 against +0.58, stable across eras). A receiver already on 21% of targets has less room to grow than one on 15%.

Defenses do not take away the best receiver

The top option's share of his team's targets is 0.2943 facing the best quartile of pass defenses and 0.2901 facing the worst. His own production moves by a tenth of a reception and under two yards between those extremes. Offenses feed their best player regardless of matchup.

Wide receiver leaders: target share

#PlayerGamesTarget share (per-game average)
1Malik Nabers2232.5%
2Puka Nacua5130.7%
3Davante Adams16329.0%
4Justin Jefferson9928.5%
5Garrett Wilson6128.1%
6Amon-Ra St. Brown9027.7%
7A.J. Brown11927.5%
8Ja'Marr Chase8827.3%
9Drake London6527.3%
10Jaxon Smith-Njigba5726.9%
11Julian Edelman5726.5%
12Zay Flowers5426.4%

2016-2026. only those with at least 4 games, applied because the question set no minimum and a rate over a handful is not a ranking.

Every figure above was measured against a control and carries its sample size and t-statistic. Verified 2026-09-29. A lift measured without a control is not merely larger here — it is often significant and wrong, which is why each one states what it was compared against.