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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
Josiah Trotter
TB · LB
Historical top-three hit rate
50%
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: 50%. Winner coverage: 100%. Log loss: 3.12. Brier score: 0.89.
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 · 54 candidates
| Rank | Candidate | Season line | Weekly move | Performance rank | Win probability |
|---|---|---|---|---|---|
| 1 | Josiah TrotterTB · LB1 games played. Projected finish: 6.2 sacks · 4.4 defensive interceptions. Defensive production index: 2.93. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 4 tkl, 1 sacks, 1 INT | Unavailable | #1 | Experimental |
| 2 | Sonny StylesWAS · LB1 games played. Projected finish: 6.2 sacks · 0.2 defensive interceptions. Defensive production index: 1.16. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 3 tkl, 1 sacks, 0 INT | Unavailable | #2 | Experimental |
| 3 | Gabe JacasNE · LB1 games played. Projected finish: 6.2 sacks · 0.2 defensive interceptions. Defensive production index: 1.16. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 3 tkl, 1 sacks, 0 INT | Unavailable | #2 | Experimental |
| 4 | R Mason ThomasKC · DE1 games played. Projected finish: 8.3 sacks · 0 defensive interceptions. Defensive production index: 0.77. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1 tkl, 1 sacks, 0 INT | Unavailable | #6 | Experimental |
| 5 | David BaileyNYJ · LB1 games played. Projected finish: 6.2 sacks · 0.2 defensive interceptions. Defensive production index: 1.02. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 4 tkl, 1 sacks, 0 INT | Unavailable | #4 | Experimental |
| 6 | Arvell ReeseNYG · LB1 games played. Projected finish: 2 sacks · 0.2 defensive interceptions. Defensive production index: 0.59. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 4 tkl, 0 sacks, 0 INT | Unavailable | #8 | Experimental |
| 7 | Chris JohnsonMIA · CB1 games played. Projected finish: 0.2 sacks · 0.7 defensive interceptions. Defensive production index: 0.73. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 5 tkl, 0 sacks, 0 INT | Unavailable | #7 | Experimental |
| 8 | Jaishawn BarhamDAL · LB1 games played. Projected finish: 2 sacks · 0.2 defensive interceptions. Defensive production index: 0.11. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 3 tkl, 0 sacks, 0 INT | Unavailable | #12 | Experimental |
| 9 | Eric O'NeillDET · DE1 games played. Projected finish: 4.1 sacks · 0 defensive interceptions. Defensive production index: -0.20. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #23 | Experimental |
| 10 | Jacob RodriguezMIA · LB1 games played. Projected finish: 2 sacks · 0.2 defensive interceptions. Defensive production index: 0.05. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 5 tkl, 0 sacks, 0 INT | Unavailable | #13 | Experimental |
| 11 | Anthony Hill Jr.TEN · LB1 games played. Projected finish: 2 sacks · 0.2 defensive interceptions. Defensive production index: 0.25. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #11 | Experimental |
| 12 | Will Lee IIICAR · CB1 games played. Projected finish: 0.2 sacks · 0.7 defensive interceptions. Defensive production index: 0.27. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 5 tkl, 0 sacks, 0 INT | Unavailable | #10 | Experimental |
| 13 | Caden CurryIND · DE1 games played. Projected finish: 4.1 sacks · 0 defensive interceptions. Defensive production index: -0.36. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | – | Unavailable | #39 | Experimental |
| 14 | Sabastian HarshHOU · DE1 games played. Projected finish: 4.1 sacks · 0 defensive interceptions. Defensive production index: -0.36. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | – | Unavailable | #39 | Experimental |
| 15 | Keldric FaulkTEN · DE1 games played. Projected finish: 4.1 sacks · 0 defensive interceptions. Defensive production index: -0.36. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | – | Unavailable | #39 | Experimental |
| 16 | Keith Abney IIDET · CB1 games played. Projected finish: 0.2 sacks · 0.7 defensive interceptions. Defensive production index: 0.03. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #14 | Experimental |
| 17 | Malik MuhammadCHI · CB1 games played. Projected finish: 0.2 sacks · 4.9 defensive interceptions. Defensive production index: 0.79. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 1 INT | Unavailable | #5 | Experimental |
| 18 | Domonique OrangeMIN · DT1 games played. Projected finish: 1.1 sacks · 0 defensive interceptions. Defensive production index: 0.03. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #14 | Experimental |
| 19 | Karson ShararARI · LB1 games played. Projected finish: 2 sacks · 0.2 defensive interceptions. Defensive production index: -0.20. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #23 | Experimental |
| 20 | Namdi ObiazorNE · LB1 games played. Projected finish: 2 sacks · 0.2 defensive interceptions. Defensive production index: -0.20. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #23 | Experimental |
| 21 | Bryce BoettcherIND · LB1 games played. Projected finish: 2 sacks · 0.2 defensive interceptions. Defensive production index: -0.20. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #23 | Experimental |
| 22 | Malachi LawrenceDAL · LB1 games played. Projected finish: 2 sacks · 0.2 defensive interceptions. Defensive production index: -0.20. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 2 tkl, 0 sacks, 0 INT | Unavailable | #23 | Experimental |
| 23 | Keionte ScottTB · CB1 games played. Projected finish: 0.2 sacks · 0.7 defensive interceptions. Defensive production index: -0.03. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 4 tkl, 0 sacks, 0 INT | Unavailable | #16 | Experimental |
| 24 | Lee HunterCAR · DT1 games played. Projected finish: 1.1 sacks · 0 defensive interceptions. Defensive production index: -0.03. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 4 tkl, 0 sacks, 0 INT | Unavailable | #16 | Experimental |
| 25 | Rueben Bain Jr.TB · LB1 games played. Projected finish: 2 sacks · 0.2 defensive interceptions. Defensive production index: -0.28. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1 tkl, 0 sacks, 0 INT | Unavailable | #28 | 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.