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The race, week by week
Award forecasts alongside on-field performance. Follow the leaders, see what drives their rankings, and revisit each weekly snapshot.
2026 season · Through week 1
Forecast leader
Aidan Hutchinson
DET · DE
Historical top-three hit rate
33%
6 retrospective validation seasons at this horizon
Forecast status
Experimental
Win percentages withheld pending validation
The race chart needs at least two weekly snapshots.
Each award has a separate regularized model trained on earlier seasons only. Candidates come from statistics available at the selected cutoff. Missing winners count as misses. The model predicts award winners; it does not estimate ballot share.
Remaining-season player totals shrink toward prior-season rates with a four-game prior. Team records use a beta prior. Coach forecasts compare projected wins with a preseason baseline formed from the prior season record. These projections assume continued availability and do not yet model future injury risk. Full-game production informs the award forecast; competitive-drive EPA is a separate performance measure. Awards do not change team ratings.
Historical results use reconstructed source files and a 24-hour result-availability assumption. Previously inspected years are retrospective validation, not a fresh holdout. CPOY training excludes seasons before the 2024 criteria change.
Winner hit rate: 33%. Winner coverage: 100%. Log loss: 3.75. Brier score: 0.90.
Precise probabilities require at least eight validation seasons, complete winner coverage, better log loss than a uniform baseline, and a leader-confidence gap of at most ten percentage points. Until then, rankings remain experimental.
Sources: nflverse player and schedule data, NFL Record and Fact Book, and NFL Honors results.
Top 25 · 528 candidates
| Rank | Candidate | Season line | Weekly move | Performance rank | Win probability |
|---|---|---|---|---|---|
| 1 | Aidan HutchinsonDET · DE1 games played. Projected finish: 19.3 sacks · 0.8 defensive interceptions. Defensive production index: 1.72. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 4 tkl, 2 sacks, 0 INT | Unavailable | #6 | Experimental |
| 2 | Maxx CrosbyLV · DE1 games played. Projected finish: 14.8 sacks · 0.9 defensive interceptions. Defensive production index: 0.93. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1 tkl, 1.5 sacks, 0 INT | Unavailable | #28 | Experimental |
| 3 | Ed OliverBUF · DT1 games played. Projected finish: 12.8 sacks · 0 defensive interceptions. Defensive production index: 0.16. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #126 | Experimental |
| 4 | T.J. WattPIT · OLB1 games played. Projected finish: 14.8 sacks · 6 defensive interceptions. Defensive production index: 4.76. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 4 tkl, 2 sacks, 1 INT | Unavailable | #1 | Experimental |
| 5 | Greg RousseauBUF · LB1 games played. Projected finish: 14 sacks · 0 defensive interceptions. Defensive production index: 3.22. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 4 tkl, 2 sacks, 0 INT · 2 FF | Unavailable | #3 | Experimental |
| 6 | Zach AllenDEN · DE1 games played. Projected finish: 13.7 sacks · 0 defensive interceptions. Defensive production index: 1.48. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 3 tkl, 2 sacks, 0 INT | Unavailable | #10 | Experimental |
| 7 | Alex HighsmithPIT · LB1 games played. Projected finish: 17.8 sacks · 0 defensive interceptions. Defensive production index: 1.24. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 2 sacks, 0 INT | Unavailable | #19 | Experimental |
| 8 | Nick BosaSF · DE1 games played. Projected finish: 8.5 sacks · 0 defensive interceptions. Defensive production index: 0.47. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 3 tkl, 0 sacks, 0 INT | Unavailable | #69 | Experimental |
| 9 | Josh Hines-AllenJAX · DE1 games played. Projected finish: 12.3 sacks · 0 defensive interceptions. Defensive production index: 1.37. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 1.5 sacks, 0 INT · 1 FF | Unavailable | #13 | Experimental |
| 10 | Andrew Van GinkelMIN · OLB1 games played. Projected finish: 13.8 sacks · 1.1 defensive interceptions. Defensive production index: 1.37. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 1.5 sacks, 0 INT · 1 FF | Unavailable | #13 | Experimental |
| 11 | Dallas TurnerMIN · LB1 games played. Projected finish: 10.2 sacks · 0 defensive interceptions. Defensive production index: 1.80. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 1 sacks, 0 INT · 1 FF | Unavailable | #5 | Experimental |
| 12 | Tuli TuipulotuLAC · LB1 games played. Projected finish: 11.1 sacks · 0 defensive interceptions. Defensive production index: 0.44. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 3 tkl, 0 sacks, 0 INT | Unavailable | #74 | Experimental |
| 13 | Brian BurnsNYG · LB1 games played. Projected finish: 12.4 sacks · 0 defensive interceptions. Defensive production index: -0.24. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #282 | Experimental |
| 14 | Nakobe DeanLV · LB1 games played. Projected finish: 9.9 sacks · 0 defensive interceptions. Defensive production index: 1.42. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 4 tkl, 1 sacks, 0 INT · 1 FF | Unavailable | #12 | Experimental |
| 15 | Will McDonald IVNYJ · DE1 games played. Projected finish: 12.7 sacks · 0 defensive interceptions. Defensive production index: 0.43. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1 tkl, 1 sacks, 0 INT | Unavailable | #75 | Experimental |
| 16 | Jadeveon ClowneyHOU · DE1 games played. Projected finish: 13.3 sacks · 0 defensive interceptions. Defensive production index: 0.59. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1 tkl, 1 sacks, 0 INT | Unavailable | #56 | Experimental |
| 17 | Montez SweatCHI · DE1 games played. Projected finish: 11.7 sacks · 0 defensive interceptions. Defensive production index: 0.43. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1 tkl, 1 sacks, 0 INT | Unavailable | #75 | Experimental |
| 18 | Leonard WilliamsSEA · DE1 games played. Projected finish: 9.8 sacks · 0 defensive interceptions. Defensive production index: 0.58. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 3 tkl, 1 sacks, 0 INT | Unavailable | #57 | Experimental |
| 19 | Will Anderson Jr.HOU · DE1 games played. Projected finish: 11.1 sacks · 0 defensive interceptions. Defensive production index: 0.02. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1 tkl, 0.5 sacks, 0 INT | Unavailable | #162 | Experimental |
| 20 | Dre'Mont JonesNE · DE1 games played. Projected finish: 9.5 sacks · 0 defensive interceptions. Defensive production index: 0.93. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1 tkl, 1 sacks, 0 INT | Unavailable | #29 | Experimental |
| 21 | Jeffery SimmonsTEN · DT1 games played. Projected finish: 9.4 sacks · 0 defensive interceptions. Defensive production index: -0.24. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #282 | Experimental |
| 22 | Chase YoungNO · DE1 games played. Projected finish: 10.7 sacks · 0 defensive interceptions. Defensive production index: 0.05. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | – | Unavailable | #155 | Experimental |
| 23 | Kwity PayeLV · DE1 games played. Projected finish: 11.6 sacks · 0 defensive interceptions. Defensive production index: 1.57. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 2 sacks, 0 INT | Unavailable | #9 | Experimental |
| 24 | Keisean NixonGB · DB1 games played. Projected finish: 2.1 sacks · 5 defensive interceptions. Defensive production index: 1.68. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 3 tkl, 0.5 sacks, 1 INT | Unavailable | #7 | Experimental |
| 25 | Danielle HunterHOU · DE1 games played. Projected finish: 12 sacks · 0 defensive interceptions. Defensive production index: -0.12. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | – | Unavailable | #217 | Experimental |
Performance ranks use defensive production index. Offensive credit splits passing EPA between passer and receiver and excludes noncompetitive drives. It subtracts a positional 25th-percentile baseline and uses a 150-opportunity prior to reduce small-sample outliers. Defensive ranks use a descriptive box-stat index. These are separate measures and do not imply equal value across positions.