NFL fantasy usage trends
| Player | Stats | Usage | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Player | Comp | Att | Pass Yds | Pass TD | INT | Car | Rush Yds | Rush TD | FL | FD Pts ↓ | DK Pts | Snap share | Target share | Air yards share | Red-zone touches |
Josh Allen BUF | 20.0 | 30.0 | 291.0 | 2.5 | 0.0 | 10.0 | 46.0 | 2.0 | 0.0 | 39.7 | 39.7 | 100.0% | 0.0% | 0.0% | 4 |
Bryce Young CAR | 23.0 | 36.5 | 324.0 | 3.0 | 0.5 | 1.5 | 8.0 | 0.5 | 0.0 | 29.8 | 29.8 | 92.0% | 0.0% | 0.0% | 3 |
Patrick Mahomes KC | 23.5 | 37.0 | 283.0 | 2.5 | 0.5 | 4.5 | 20.0 | 0.5 | 0.0 | 27.3 | 27.3 | 100.0% | 0.0% | 0.0% | 2 |
Brock Purdy SF | 22.5 | 28.0 | 246.0 | 2.5 | 0.5 | 4.0 | 29.5 | 0.5 | 0.0 | 25.3 | 25.3 | 92.5% | 0.0% | 0.0% | 1 |
Tyler Shough NO | 31.0 | 45.0 | 331.0 | 2.0 | 1.0 | 6.5 | 15.5 | 0.5 | 0.5 | 25.3 | 25.8 | 100.0% | 0.0% | 0.0% | 5 |
Jared Goff DET | 26.0 | 38.5 | 266.5 | 3.0 | 0.0 | 2.5 | 4.5 | 0.0 | 0.0 | 24.6 | 24.6 | 100.0% | 0.0% | 0.0% | 1 |
Caleb Williams CHI | 18.0 | 27.5 | 203.5 | 1.0 | 0.5 | 7.5 | 53.5 | 1.0 | 0.0 | 23.0 | 23.0 | 93.0% | 0.0% | 0.0% | 4 |
Dak Prescott DAL | 24.0 | 32.5 | 227.0 | 3.0 | 0.5 | 3.0 | 20.0 | 0.0 | 0.0 | 22.6 | 22.6 | 100.0% | 0.0% | 0.0% | 1 |
Lamar Jackson BAL | 19.0 | 28.0 | 279.5 | 1.0 | 0.5 | 5.5 | 37.0 | 0.5 | 0.5 | 21.9 | 22.4 | 100.0% | 0.0% | 0.0% | 1 |
Jalen Hurts PHI | 20.0 | 31.0 | 233.5 | 2.5 | 1.0 | 6.0 | 31.0 | 0.0 | 0.0 | 21.4 | 21.4 | 100.0% | 0.0% | 0.0% | 1 |
Jordan Love GB | 18.5 | 35.5 | 266.0 | 2.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.5 | 18.6 | 19.1 | 100.0% | 0.0% | 0.0% | 1 |
Kirk Cousins LV | 20.0 | 29.5 | 206.5 | 3.0 | 1.5 | 4.5 | -2.5 | 0.0 | 0.0 | 18.5 | 18.5 | 100.0% | 0.0% | 0.0% | 0 |
C.J. Stroud HOU | 28.0 | 46.5 | 313.5 | 1.0 | 0.0 | 2.5 | 22.0 | 0.0 | 1.0 | 18.2 | 19.2 | 100.0% | 0.0% | 0.0% | 0 |
Matthew Stafford LAR | 18.5 | 28.0 | 241.0 | 2.0 | 1.0 | 3.0 | -1.0 | 0.0 | 0.0 | 18.0 | 18.0 | 84.0% | 0.0% | 0.0% | 1 |
Deshaun Watson CLE | 20.0 | 26.0 | 221.5 | 1.5 | 0.5 | 6.5 | 30.0 | 0.0 | 0.0 | 17.4 | 17.4 | 100.0% | 0.0% | 0.0% | 2 |
Drew Lock SEA | 17.5 | 24.0 | 211.0 | 2.0 | 0.0 | 1.0 | 6.5 | 0.0 | 0.0 | 17.1 | 17.1 | 95.0% | 0.0% | 0.0% | 1 |
Trevor Lawrence JAX | 17.5 | 26.0 | 217.0 | 2.0 | 0.5 | 2.0 | 4.5 | 0.0 | 0.0 | 16.6 | 16.6 | 94.0% | 0.0% | 0.0% | 0 |
Jayden Daniels WAS | 14.5 | 25.5 | 130.0 | 1.5 | 0.0 | 6.0 | 50.0 | 0.0 | 0.0 | 16.2 | 16.2 | 77.5% | 0.0% | 0.0% | 4 |
Justin Fields NYJ | 14.2 | 22.7 | 139.9 | 0.8 | 0.1 | 7.9 | 42.6 | 0.4 | 0.3 | 16.0 | 16.3 | 89.8% | 0.4% | 0.3% | 14 |
Cam Ward TEN | 16.0 | 26.0 | 161.5 | 0.5 | 0.0 | 4.0 | 14.0 | 1.0 | 0.0 | 15.9 | 15.9 | 100.0% | 0.0% | 0.0% | 4 |
Joe Burrow CIN | 22.5 | 33.0 | 230.5 | 1.5 | 0.5 | 3.0 | 9.5 | 0.0 | 0.0 | 15.7 | 15.7 | 100.0% | 0.0% | 0.0% | 3 |
Derek Carr NO | 18.9 | 27.9 | 214.5 | 1.5 | 0.5 | 1.7 | 7.1 | 0.1 | 0.0 | 15.6 | 15.6 | 94.4% | 0.0% | 0.0% | 4 |
Malik Willis MIA | 14.5 | 25.0 | 208.5 | 0.5 | 0.5 | 4.0 | 22.5 | 0.5 | 0.0 | 15.1 | 15.1 | 100.0% | 0.0% | 0.0% | 1 |
Michael Penix Jr. ATL | 18.4 | 30.7 | 220.2 | 1.0 | 0.3 | 2.3 | 7.8 | 0.1 | 0.2 | 14.0 | 14.3 | 93.2% | 0.0% | 0.0% | 3 |
J.J. McCarthy MIN | 14.0 | 24.3 | 163.2 | 1.1 | 1.2 | 3.7 | 18.1 | 0.4 | 0.2 | 13.7 | 13.9 | 91.6% | 0.0% | 0.0% | 6 |
Jaxson Dart NYG | 13.0 | 17.0 | 125.0 | 1.5 | 0.0 | 5.5 | 27.0 | 0.0 | 0.0 | 13.7 | 13.7 | 100.0% | 0.0% | 0.0% | 0 |
Carson Wentz MIN | 11.5 | 19.5 | 138.0 | 1.5 | 0.0 | 4.0 | 2.5 | 0.0 | 0.0 | 12.8 | 12.8 | 91.5% | 0.0% | 0.0% | 0 |
Tua Tagovailoa MIA | 18.6 | 27.4 | 190.0 | 1.4 | 1.1 | 1.4 | 3.1 | 0.0 | 0.1 | 12.8 | 12.8 | 95.4% | 0.0% | 0.0% | 2 |
Joe Flacco CIN | 19.3 | 32.0 | 190.7 | 1.1 | 0.8 | 1.6 | 2.7 | 0.1 | 0.2 | 12.5 | 12.7 | 77.8% | 0.0% | 0.0% | 4 |
Geno Smith NYJ | 23.0 | 32.5 | 231.0 | 0.5 | 0.0 | 5.5 | 12.0 | 0.0 | 0.0 | 12.4 | 12.4 | 100.0% | 0.0% | 0.0% | 1 |
Baker Mayfield TB | 22.0 | 31.0 | 199.0 | 0.5 | 0.5 | 4.5 | 29.5 | 0.5 | 1.5 | 12.4 | 13.9 | 100.0% | 0.0% | 0.0% | 5 |
Shedeur Sanders CLE | 15.0 | 26.5 | 175.0 | 0.9 | 1.3 | 2.6 | 21.1 | 0.1 | 0.1 | 12.2 | 12.4 | 91.6% | 0.0% | 0.0% | 2 |
Justin Herbert LAC | 16.0 | 27.0 | 200.5 | 1.0 | 1.5 | 4.0 | 15.5 | 0.0 | 0.0 | 12.1 | 12.1 | 100.0% | 0.0% | 0.0% | 4 |
Jacoby Brissett ARI | 22.0 | 32.5 | 186.0 | 1.0 | 0.5 | 3.5 | 10.5 | 0.0 | 0.0 | 12.0 | 12.0 | 100.0% | 0.0% | 0.0% | 1 |
Davis Mills HOU | 15.2 | 26.5 | 152.5 | 0.8 | 0.2 | 2.2 | 10.0 | 0.2 | 0.0 | 11.6 | 11.6 | 70.5% | 0.0% | 0.0% | 3 |
Spencer Rattler NO | 19.3 | 28.6 | 176.2 | 0.9 | 0.6 | 3.4 | 18.6 | 0.0 | 0.2 | 11.5 | 11.8 | 81.7% | 0.8% | 0.4% | 6 |
Jake Browning CIN | 16.2 | 25.0 | 154.2 | 1.2 | 1.6 | 1.8 | 7.8 | 0.2 | 0.0 | 11.3 | 11.3 | 73.4% | 0.0% | 0.0% | 2 |
Daniel Jones IND | 20.5 | 31.0 | 188.0 | 1.0 | 1.0 | 2.0 | 7.0 | 0.0 | 0.0 | 11.2 | 11.2 | 100.0% | 0.0% | 0.0% | 1 |
Will Levis TEN | 15.8 | 25.1 | 174.3 | 1.1 | 1.0 | 3.8 | 15.3 | 0.0 | 0.5 | 11.0 | 11.5 | 85.2% | 0.0% | 0.0% | 7 |
Drake Maye NE | 18.5 | 27.5 | 193.0 | 0.5 | 2.0 | 5.5 | 32.0 | 0.0 | 0.0 | 10.9 | 10.9 | 100.0% | 0.0% | 0.0% | 0 |
Bo Nix DEN | 19.5 | 29.5 | 209.5 | 1.0 | 1.0 | 4.0 | 4.0 | 0.0 | 0.5 | 10.8 | 11.3 | 100.0% | 0.0% | 0.0% | 1 |
Tyrod Taylor NYJ | 13.3 | 22.3 | 129.8 | 0.8 | 0.8 | 4.5 | 23.8 | 0.2 | 0.2 | 10.7 | 10.9 | 67.0% | 0.0% | 0.0% | 3 |
Russell Wilson NYG | 11.5 | 19.8 | 138.5 | 0.5 | 0.5 | 3.0 | 17.7 | 0.0 | 0.0 | 9.3 | 9.3 | 54.3% | 0.0% | 0.0% | 7 |
Bailey Zappe CLE | 16.0 | 31.0 | 170.0 | 1.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0.0 | 9.0 | 9.0 | 90.0% | 0.0% | 0.0% | 0 |
Quinn Ewers MIA | 13.8 | 20.8 | 155.5 | 0.8 | 0.8 | 2.0 | 4.8 | 0.0 | 0.0 | 8.9 | 9.0 | 79.0% | 1.1% | -0.8% | 1 |
Josh Johnson WAS | 11.3 | 18.0 | 124.0 | 0.3 | 0.7 | 4.0 | 18.3 | 0.3 | 0.3 | 8.8 | 9.1 | 79.7% | 0.0% | 0.0% | 2 |
Aaron Rodgers PIT | 23.5 | 39.5 | 204.0 | 0.5 | 0.5 | 2.0 | 1.0 | 0.0 | 0.5 | 8.8 | 9.3 | 98.0% | 0.0% | 0.0% | 0 |
Tyler Huntley BAL | 10.4 | 13.4 | 85.2 | 0.4 | 0.0 | 4.8 | 30.2 | 0.0 | 0.0 | 8.0 | 8.0 | 59.4% | 0.0% | 0.0% | 7 |
Dillon Gabriel CLE | 11.0 | 18.5 | 93.7 | 0.7 | 0.2 | 1.4 | 8.6 | 0.0 | 0.0 | 7.2 | 7.2 | 56.2% | 0.0% | 0.0% | 2 |
Brady Cook NYJ | 17.6 | 30.6 | 147.8 | 0.4 | 1.4 | 2.6 | 9.8 | 0.0 | 0.2 | 7.1 | 7.3 | 98.0% | 0.0% | 0.0% | 0 |
Tommy DeVito NYG | 15.5 | 22.0 | 128.5 | 0.0 | 0.0 | 4.0 | 16.0 | 0.0 | 0.0 | 6.7 | 6.7 | 72.5% | 0.0% | 0.0% | 1 |
Aidan O'Connell LV | 10.0 | 22.0 | 102.0 | 0.0 | 0.0 | 1.0 | 7.0 | 0.0 | 0.0 | 4.8 | 4.8 | 82.0% | 0.0% | 0.0% | 0 |
Cooper Rush ATL | 11.0 | 19.5 | 114.5 | 0.5 | 2.0 | 1.0 | 10.0 | 0.0 | 0.5 | 4.6 | 5.1 | 79.0% | 0.0% | 0.0% | 0 |
Chris Oladokun KC | 11.7 | 18.3 | 78.3 | 0.3 | 0.0 | 1.7 | 6.0 | 0.0 | 0.7 | 3.7 | 4.4 | 74.7% | 0.0% | 0.0% | 1 |
Brandon Allen TEN | 17.0 | 30.0 | 72.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.9 | 1.9 | 91.0% | 0.0% | 0.0% | 0 |
Clayton Tune GB | 3.5 | 7.5 | 21.0 | 0.0 | 0.5 | 2.5 | 11.5 | 0.0 | 0.0 | 1.5 | 1.5 | 58.5% | 0.0% | 0.0% | 0 |
NFL fantasy usage trends
Box scores tell you what happened. Usage trends tell you why, and why is what carries into next week. A player's role, measured across several games instead of one, is the closest thing fantasy football has to a leading indicator.
Already looking for one player's trend?
Browse the full A-Z index of last 3, 5 & 10 game fantasy splits.
The three numbers that matter
You don't need a dozen advanced stats. Three cover most of what determines a player's fantasy ceiling and floor:
- Snap share. The floor underneath everything else. A player can't produce from the sideline. Watch for a jump of 15 points or more in snap share across back-to-back weeks. That's usually a real change in the coaching staff's plan, not noise.
- Target share (or carry share for backs). The single best predictor of future receiving or rushing production. A player getting 25% of his team's targets is a weekly starter in most formats regardless of last week's box score.
- Red zone share. Touches inside the 20-yard line convert to touchdowns far more often than touches at midfield. A player who becomes his team's primary red zone option gains touchdown equity that doesn't always show up yet in his yardage totals.
Why the rolling window matters
A single game is a small sample and it lies to you. A receiver can see 12 targets in one game because the opponent had two defensive backs injured, and go back to 6 targets the next week once the matchup normalizes. A 3-game rolling window smooths that out and shows you the underlying role instead of one week's noise. A 5-game window is slower to react but more reliable for identifying a real change versus a blip.
The trade-off: a shorter window reacts faster to real changes (an injury ahead of a player, a new offensive coordinator) but also reacts faster to noise. Use the 3-game number to catch something early and the 5-game number to confirm it before you act on it with a waiver claim or a lineup decision.
Role versus performance
Keep these separate. Role is opportunity: snaps, targets, carries, red zone touches. It's largely under the coaching staff's control and it's sticky from week to week. Performance is what a player does with that opportunity: yards per target, touchdown rate, missed tackles forced. Performance regresses toward a player's established level far more than role does. When you're projecting a player forward, weight role heavily and treat a hot or cold performance streak as more likely to normalize than continue.
One confirmed data point beats one outlier
The single most common mistake in reading trends: reacting to one big game. Wait for a second data point in the same direction before you move a waiver bid or a start/sit call on it. If the role change is real, it shows up again the following week. If it doesn't, you saved your budget for something that actually holds.

