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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 2
Forecast leader
Jaxon Smith-Njigba
SEA · WR
Historical top-three hit rate
17%
6 retrospective validation seasons at this horizon
Forecast status
Experimental
Win percentages withheld pending validation
Predicted rank by weekly snapshot for the current top 8. Each point is what the board said after that week, not a recomputation; weeks ranked below 25 run off the bottom.
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: 17%. Winner coverage: 100%. Log loss: 4.81. Brier score: 1.03.
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 · 420 candidates
| Rank | Candidate | Season line | Weekly move | Performance rank | Win probability |
|---|---|---|---|---|---|
| 1 | Jaxon Smith-NjigbaSEA · WR2 games played. Projected finish: 2,024.2 receiving yards · 19.9 receiving TDs. Shrunk competitive EPA above a positional baseline: 0.21. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 277 rec yds, 4 TD | +5 | #55 | Experimental |
| 2 | Josh AllenBUF · QB2 games played. Projected finish: 4,329.5 passing yards · 33.1 passing TDs. Shrunk competitive EPA above a positional baseline: 6.83. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 582 pass yds, 5 TD, 0 INT · 92 rush yds, 4 TD | -1 | #1 | Experimental |
| 3 | Jahmyr GibbsDET · RB2 games played. Projected finish: 1,447.4 rushing yards · 14.7 rushing TDs. Shrunk competitive EPA above a positional baseline: 3.42. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 208 rush yds, 2 TD · 91 rec yds, 1 TD | -1 | #7 | Experimental |
| 4 | Kenneth Walker IIIKC · RB2 games played. Projected finish: 1,619.1 rushing yards · 6.4 rushing TDs. Shrunk competitive EPA above a positional baseline: 5.88. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 290 rush yds, 1 TD · 79 rec yds, 1 TD | +11 | #2 | Experimental |
| 5 | Patrick MahomesKC · QB2 games played. Projected finish: 4,543.1 passing yards · 33.2 passing TDs. Shrunk competitive EPA above a positional baseline: 3.32. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 566 pass yds, 5 TD, 1 INT · 40 rush yds, 1 TD | +4 | #8 | Experimental |
| 6 | Brock PurdySF · QB2 games played. Projected finish: 4,129.8 passing yards · 39.7 passing TDs. Shrunk competitive EPA above a positional baseline: 4.16. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 492 pass yds, 5 TD, 1 INT · 59 rush yds, 1 TD | +8 | #5 | Experimental |
| 7 | Bijan RobinsonATL · RB2 games played. Projected finish: 1,411.9 rushing yards · 4.1 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.50. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 155 rush yds, 0 TD · 99 rec yds, 1 TD | -2 | #39 | Experimental |
| 8 | Christian McCaffreySF · RB2 games played. Projected finish: 1,025.6 rushing yards · 12.9 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.97. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 91 rush yds, 2 TD · 63 rec yds, 0 TD | -1 | #29 | Experimental |
| 9 | Jonathan TaylorIND · RB2 games played. Projected finish: 1,597.4 rushing yards · 24.6 rushing TDs. Shrunk competitive EPA above a positional baseline: 2.38. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 190 rush yds, 4 TD · 63 rec yds, 0 TD | +2 | #14 | Experimental |
| 10 | James CookBUF · RB2 games played. Projected finish: 1,625.5 rushing yards · 10.6 rushing TDs. Shrunk competitive EPA above a positional baseline: 2.72. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 192 rush yds, 1 TD · 16 rec yds, 0 TD | +8 | #12 | Experimental |
| 11 | Derrick HenryBAL · RB2 games played. Projected finish: 1,680.2 rushing yards · 23.4 rushing TDs. Shrunk competitive EPA above a positional baseline: 3.65. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 212 rush yds, 4 TD · 38 rec yds, 0 TD | -8 | #6 | Experimental |
| 12 | Jalen HurtsPHI · QB2 games played. Projected finish: 3,649.5 passing yards · 33.1 passing TDs. Shrunk competitive EPA above a positional baseline: 2.74. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 467 pass yds, 5 TD, 2 INT · 62 rush yds, 0 TD | +4 | #11 | Experimental |
| 13 | Dak PrescottDAL · QB2 games played. Projected finish: 4,266.7 passing yards · 38.7 passing TDs. Shrunk competitive EPA above a positional baseline: 4.19. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 454 pass yds, 6 TD, 1 INT · 40 rush yds, 0 TD | +25 | #4 | Experimental |
| 14 | Amon-Ra St. BrownDET · WR2 games played. Projected finish: 1,555.6 receiving yards · 20.5 receiving TDs. Shrunk competitive EPA above a positional baseline: -0.35. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 209 rec yds, 4 TD | +16 | #338 | Experimental |
| 15 | Chris OlaveNO · WR2 games played. Projected finish: 1,664.9 receiving yards · 9.1 receiving TDs. Shrunk competitive EPA above a positional baseline: -0.08. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 268 rec yds, 1 TD | +7 | #278 | Experimental |
| 16 | D'Andre SwiftCHI · RB2 games played. Projected finish: 1,270.9 rushing yards · 16.1 rushing TDs. Shrunk competitive EPA above a positional baseline: 1.46. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 169 rush yds, 3 TD · 64 rec yds, 0 TD | -8 | #19 | Experimental |
| 17 | Jared GoffDET · QB2 games played. Projected finish: 4,550.2 passing yards · 41 passing TDs. Shrunk competitive EPA above a positional baseline: -0.11. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 533 pass yds, 6 TD, 0 INT · 9 rush yds, 0 TD | +6 | #295 | Experimental |
| 18 | Ashton JeantyLV · RB2 games played. Projected finish: 1,098.5 rushing yards · 2.9 rushing TDs. Shrunk competitive EPA above a positional baseline: -0.29. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 150 rush yds, 0 TD · 60 rec yds, 2 TD | +3 | #332 | Experimental |
| 19 | Caleb WilliamsCHI · QB2 games played. Projected finish: 3,743.3 passing yards · 22.9 passing TDs. Shrunk competitive EPA above a positional baseline: 4.22. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 407 pass yds, 2 TD, 1 INT · 107 rush yds, 2 TD | -15 | #3 | Experimental |
| 20 | Bryce YoungCAR · QB2 games played. Projected finish: 4,149.9 passing yards · 35.4 passing TDs. Shrunk competitive EPA above a positional baseline: 1.56. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 648 pass yds, 6 TD, 1 INT · 16 rush yds, 1 TD | +13 | #18 | Experimental |
| 21 | Matthew StaffordLA · QB2 games played. Projected finish: 4,455.8 passing yards · 41.1 passing TDs. Shrunk competitive EPA above a positional baseline: 0.50. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 482 pass yds, 4 TD, 2 INT | +33 | #40 | Experimental |
| 22 | CeeDee LambDAL · WR2 games played. Projected finish: 1,518 receiving yards · 12.8 receiving TDs. Shrunk competitive EPA above a positional baseline: -0.04. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 197 rec yds, 3 TD | +46 | #261 | Experimental |
| 23 | Lamar JacksonBAL · QB2 games played. Projected finish: 3,917.3 passing yards · 23.2 passing TDs. Shrunk competitive EPA above a positional baseline: 3.31. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 559 pass yds, 2 TD, 1 INT · 74 rush yds, 1 TD | -10 | #9 | Experimental |
| 24 | Breece HallNYJ · RB2 games played. Projected finish: 1,124.1 rushing yards · 6 rushing TDs. Shrunk competitive EPA above a positional baseline: 1.72. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 131 rush yds, 1 TD · 79 rec yds, 0 TD | -5 | #16 | Experimental |
| 25 | Chase BrownCIN · RB2 games played. Projected finish: 1,075.4 rushing yards · 7 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.62. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 136 rush yds, 1 TD · 24 rec yds, 0 TD | 0 | #38 | Experimental |
Performance ranks use shrunk competitive epa above a positional baseline. 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.