Two receivers on one team rise and fall together

The strongest correlation between two players in a game is between pass catchers on the same team, at +0.33. A big passing day lifts both. Projecting them as if they were independent misses that.

September 26, 2026 · Raw per-game outcomes, 2024 to 2026

The intuition is that two receivers on the same team split a fixed pie, so one’s big day is the other’s quiet one. Measured on raw outcomes over full games, it runs the other way.

What moves together

Pair Correlation
Two pass catchers, same team +0.328
Quarterback and his own receiver +0.253
Opposing passing games (a shootout) +0.172
Two backs, same team +0.122
Players in different games 0

Across a whole game the shared environment dominates. A team that throws 45 times because it fell behind, or because the game turned into a shootout, feeds every receiver it has. The pie isn’t fixed. Its size is the biggest thing that varies.

The measurement that nearly hid it

An earlier cut measured correlation between “did he beat his own season average” flags and found +0.002, essentially nothing. That proxy subtracts each player’s own baseline, and the shared game environment is exactly what the subtraction removes. Raw outcomes are the right unit, and the gap between the two numbers is the finding.

What it means for a projection

Two receivers on one team are more likely to have a big day, or a quiet one, together than projecting each on his own suggests. Treating them as independent understates how often their outcomes land together. The practical point runs the other way from the intuition: pairing teammates in a fantasy lineup concentrates it on one game script, it doesn’t spread it.