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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 5
Forecast leader
Brock Purdy
SF · QB
Historical top-three hit rate
50%
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: 0%. Winner coverage: 100%. Log loss: 3.06. Brier score: 1.10.
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 · 1,597 candidates
| Rank | Candidate | Season line | Weekly move | Performance rank | Win probability |
|---|---|---|---|---|---|
| 1 | Brock PurdySF · QB5 games played. Projected finish: 4,074.8 passing yards · 42.2 passing TDs. Shrunk competitive EPA above a positional baseline: 17.02. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,196 pass yds, 13 TD, 2 INT · 128 rush yds, 1 TD | 0 | #2 | Experimental |
| 2 | Jared GoffDET · QB5 games played. Projected finish: 4,896.8 passing yards · 38.7 passing TDs. Shrunk competitive EPA above a positional baseline: 7.27. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,485 pass yds, 12 TD, 0 INT · 16 rush yds, 1 TD | 0 | #20 | Experimental |
| 3 | Patrick MahomesKC · QB4 games played. Projected finish: 4,387.5 passing yards · 33.8 passing TDs. Shrunk competitive EPA above a positional baseline: 8.58. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,037 pass yds, 9 TD, 2 INT · 41 rush yds, 1 TD | 0 | #18 | Experimental |
| 4 | Josh AllenBUF · QB5 games played. Projected finish: 4,137 passing yards · 24.7 passing TDs. Shrunk competitive EPA above a positional baseline: 23.82. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,249 pass yds, 7 TD, 4 INT · 239 rush yds, 8 TD · 1 rec yds, 0 TD | +1 | #1 | Experimental |
| 5 | Lamar JacksonBAL · QB4 games played. Projected finish: 3,594 passing yards · 24.7 passing TDs. Shrunk competitive EPA above a positional baseline: 10.95. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 967 pass yds, 6 TD, 1 INT · 144 rush yds, 1 TD | -1 | #10 | Experimental |
| 6 | Trevor LawrenceJAX · QB5 games played. Projected finish: 3,996.4 passing yards · 32.4 passing TDs. Shrunk competitive EPA above a positional baseline: 10.24. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,174 pass yds, 10 TD, 3 INT · 59 rush yds, 0 TD | +1 | #13 | Experimental |
| 7 | Joe BurrowCIN · QB5 games played. Projected finish: 4,381.7 passing yards · 37 passing TDs. Shrunk competitive EPA above a positional baseline: 13.43. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,361 pass yds, 11 TD, 3 INT · 48 rush yds, 1 TD | +9 | #4 | Experimental |
| 8 | Bryce YoungCAR · QB4 games played. Projected finish: 4,551.7 passing yards · 33 passing TDs. Shrunk competitive EPA above a positional baseline: 7.11. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,268 pass yds, 9 TD, 2 INT · 19 rush yds, 1 TD | 0 | #23 | Experimental |
| 9 | Kenneth Walker IIIKC · RB4 games played. Projected finish: 1,802.3 rushing yards · 12.4 rushing TDs. Shrunk competitive EPA above a positional baseline: 11.99. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 537 rush yds, 4 TD · 84 rec yds, 2 TD | 0 | #7 | Experimental |
| 10 | Jordan LoveGB · QB5 games played. Projected finish: 4,487.5 passing yards · 31.5 passing TDs. Shrunk competitive EPA above a positional baseline: 4.79. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,408 pass yds, 10 TD, 3 INT | +8 | #29 | Experimental |
| 11 | Deshaun WatsonCLE · QB5 games played. Projected finish: 3,230.6 passing yards · 22.1 passing TDs. Shrunk competitive EPA above a positional baseline: 0.90. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,010 pass yds, 7 TD, 2 INT · 167 rush yds, 0 TD | +1 | #74 | Experimental |
| 12 | Dak PrescottDAL · QB5 games played. Projected finish: 4,650.4 passing yards · 30.4 passing TDs. Shrunk competitive EPA above a positional baseline: 15.04. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,381 pass yds, 9 TD, 3 INT · 66 rush yds, 0 TD | -6 | #3 | Experimental |
| 13 | Jalen HurtsPHI · QB5 games played. Projected finish: 3,251.7 passing yards · 27 passing TDs. Shrunk competitive EPA above a positional baseline: 1.57. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 933 pass yds, 8 TD, 3 INT · 107 rush yds, 1 TD | -3 | #56 | Experimental |
| 14 | James CookBUF · RB5 games played. Projected finish: 1,749.9 rushing yards · 15.4 rushing TDs. Shrunk competitive EPA above a positional baseline: 11.67. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 532 rush yds, 5 TD · 31 rec yds, 0 TD | +3 | #8 | Experimental |
| 15 | C.J. StroudHOU · QB5 games played. Projected finish: 4,429.8 passing yards · 21.2 passing TDs. Shrunk competitive EPA above a positional baseline: 10.61. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,402 pass yds, 6 TD, 0 INT · 71 rush yds, 1 TD | +6 | #11 | Experimental |
| 16 | Kirk CousinsLV · QB5 games played. Projected finish: 3,878.9 passing yards · 33.3 passing TDs. Shrunk competitive EPA above a positional baseline: 9.18. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,269 pass yds, 12 TD, 4 INT | -1 | #14 | Experimental |
| 17 | Jayden DanielsWAS · QB3 games played. Projected finish: 2,482.1 passing yards · 16 passing TDs. Shrunk competitive EPA above a positional baseline: 5.66. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 459 pass yds, 3 TD, 0 INT · 203 rush yds, 2 TD | +6 | #26 | Experimental |
| 18 | Jaxson DartNYG · QB2 games played. Projected finish: 2,048.3 passing yards · 17.6 passing TDs. Shrunk competitive EPA above a positional baseline: 3.22. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 250 pass yds, 3 TD, 0 INT · 54 rush yds, 0 TD | -7 | #37 | Experimental |
| 19 | Aaron RodgersPIT · QB5 games played. Projected finish: 3,986.7 passing yards · 31.3 passing TDs. Shrunk competitive EPA above a positional baseline: -1.00. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,234 pass yds, 10 TD, 4 INT · 18 rush yds, 0 TD | +13 | #419 | Experimental |
| 20 | Derrick HenryBAL · RB5 games played. Projected finish: 1,611.1 rushing yards · 21.4 rushing TDs. Shrunk competitive EPA above a positional baseline: 10.40. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 476 rush yds, 7 TD · 62 rec yds, 1 TD | -7 | #12 | Experimental |
| 21 | Kyler MurrayMIN · QB4 games played. Projected finish: 2,809.4 passing yards · 12.2 passing TDs. Shrunk competitive EPA above a positional baseline: 0.57. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 662 pass yds, 2 TD, 2 INT · 93 rush yds, 0 TD | +15 | #89 | Experimental |
| 22 | Drake MayeNE · QB5 games played. Projected finish: 4,243.8 passing yards · 28.4 passing TDs. Shrunk competitive EPA above a positional baseline: 9.07. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,228 pass yds, 8 TD, 7 INT · 161 rush yds, 1 TD | +32 | #15 | Experimental |
| 23 | Caleb WilliamsCHI · QB2 games played. Projected finish: 3,076.1 passing yards · 18.7 passing TDs. Shrunk competitive EPA above a positional baseline: 4.43. 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 | -9 | #31 | Experimental |
| 24 | Geno SmithNYJ · QB5 games played. Projected finish: 3,604.9 passing yards · 20.8 passing TDs. Shrunk competitive EPA above a positional baseline: -1.45. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,084 pass yds, 6 TD, 0 INT · 43 rush yds, 0 TD | +5 | #423 | Experimental |
| 25 | Bo NixDEN · QB5 games played. Projected finish: 3,431.3 passing yards · 21.8 passing TDs. Shrunk competitive EPA above a positional baseline: 2.39. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 942 pass yds, 6 TD, 3 INT · 35 rush yds, 1 TD | +3 | #47 | 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.