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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 4
Forecast leader
Kenneth Walker III
KC · RB
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: 4.56. Brier score: 1.00.
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 · 481 candidates
| Rank | Candidate | Season line | Weekly move | Performance rank | Win probability |
|---|---|---|---|---|---|
| 1 | Kenneth Walker IIIKC · RB4 games played. Projected finish: 1,802.3 rushing yards · 12.4 rushing TDs. Shrunk competitive EPA above a positional baseline: 10.63. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 537 rush yds, 4 TD · 84 rec yds, 2 TD | +4 | #4 | Experimental |
| 2 | Brock PurdySF · QB4 games played. Projected finish: 4,208.4 passing yards · 43.3 passing TDs. Shrunk competitive EPA above a positional baseline: 14.15. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,007 pass yds, 11 TD, 1 INT · 122 rush yds, 1 TD | +2 | #1 | Experimental |
| 3 | Bijan RobinsonATL · RB4 games played. Projected finish: 1,861.9 rushing yards · 13.2 rushing TDs. Shrunk competitive EPA above a positional baseline: 9.39. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 494 rush yds, 4 TD · 120 rec yds, 1 TD | +6 | #6 | Experimental |
| 4 | Jaxon Smith-NjigbaSEA · WR4 games played. Projected finish: 1,948.2 receiving yards · 19.6 receiving TDs. Shrunk competitive EPA above a positional baseline: 1.91. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 14 pass yds, 0 TD, 0 INT · 481 rec yds, 6 TD | -1 | #38 | Experimental |
| 5 | Christian McCaffreySF · RB4 games played. Projected finish: 1,031.8 rushing yards · 14.3 rushing TDs. Shrunk competitive EPA above a positional baseline: 3.23. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 218 rush yds, 4 TD · 122 rec yds, 0 TD | +2 | #29 | Experimental |
| 6 | Josh AllenBUF · QB4 games played. Projected finish: 4,217.5 passing yards · 25.9 passing TDs. Shrunk competitive EPA above a positional baseline: 12.09. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,039 pass yds, 6 TD, 3 INT · 118 rush yds, 7 TD · 1 rec yds, 0 TD | -5 | #2 | Experimental |
| 7 | Patrick MahomesKC · QB4 games played. Projected finish: 4,387.5 passing yards · 33.8 passing TDs. Shrunk competitive EPA above a positional baseline: 7.60. 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 | +1 | #9 | Experimental |
| 8 | Jahmyr GibbsDET · RB4 games played. Projected finish: 1,394.2 rushing yards · 18.1 rushing TDs. Shrunk competitive EPA above a positional baseline: 8.37. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 353 rush yds, 5 TD · 187 rec yds, 2 TD | -6 | #7 | Experimental |
| 9 | Derrick HenryBAL · RB4 games played. Projected finish: 1,591.6 rushing yards · 24.5 rushing TDs. Shrunk competitive EPA above a positional baseline: 4.91. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 374 rush yds, 7 TD · 44 rec yds, 0 TD | +1 | #17 | Experimental |
| 10 | James CookBUF · RB4 games played. Projected finish: 1,724.9 rushing yards · 12.5 rushing TDs. Shrunk competitive EPA above a positional baseline: 7.70. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 421 rush yds, 3 TD · 24 rec yds, 0 TD | -4 | #8 | Experimental |
| 11 | Jonathan TaylorIND · RB4 games played. Projected finish: 1,532.7 rushing yards · 22.6 rushing TDs. Shrunk competitive EPA above a positional baseline: 6.16. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 353 rush yds, 6 TD · 69 rec yds, 0 TD | +2 | #12 | Experimental |
| 12 | CeeDee LambDAL · WR4 games played. Projected finish: 1,845.8 receiving yards · 12 receiving TDs. Shrunk competitive EPA above a positional baseline: 2.60. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 498 rec yds, 4 TD | +18 | #33 | Experimental |
| 13 | Lamar JacksonBAL · QB4 games played. Projected finish: 3,812.9 passing yards · 26.3 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. | 967 pass yds, 6 TD, 1 INT · 144 rush yds, 1 TD | +3 | #5 | Experimental |
| 14 | D'Andre SwiftCHI · RB4 games played. Projected finish: 1,258 rushing yards · 11.5 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.40. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 311 rush yds, 3 TD · 84 rec yds, 0 TD | +1 | #79 | Experimental |
| 15 | Kyren WilliamsLA · RB4 games played. Projected finish: 1,250.5 rushing yards · 11.7 rushing TDs. Shrunk competitive EPA above a positional baseline: 4.23. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 294 rush yds, 3 TD · 173 rec yds, 1 TD | +12 | #20 | Experimental |
| 16 | Zay FlowersBAL · WR3 games played. Projected finish: 1,534.9 receiving yards · 7.9 receiving TDs. Shrunk competitive EPA above a positional baseline: 0.94. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 20 rush yds, 0 TD · 352 rec yds, 2 TD | +26 | #50 | Experimental |
| 17 | Ashton JeantyLV · RB4 games played. Projected finish: 1,065.8 rushing yards · 1.9 rushing TDs. Shrunk competitive EPA above a positional baseline: -1.85. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 264 rush yds, 0 TD · 165 rec yds, 2 TD | -6 | #406 | Experimental |
| 18 | Aaron JonesMIN · RB4 games played. Projected finish: 1,076.5 rushing yards · 3.7 rushing TDs. Shrunk competitive EPA above a positional baseline: 2.98. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 297 rush yds, 1 TD · 68 rec yds, 0 TD | +7 | #31 | Experimental |
| 19 | Trevor LawrenceJAX · QB4 games played. Projected finish: 3,745 passing yards · 32.1 passing TDs. Shrunk competitive EPA above a positional baseline: 5.12. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 843 pass yds, 8 TD, 2 INT · 34 rush yds, 0 TD | -2 | #15 | Experimental |
| 20 | Deebo Samuel Sr.SF · WR4 games played. Projected finish: 781 receiving yards · 9.9 receiving TDs. Shrunk competitive EPA above a positional baseline: 0.56. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 74 rush yds, 0 TD · 185 rec yds, 3 TD | +11 | #68 | Experimental |
| 21 | Kirk CousinsLV · QB4 games played. Projected finish: 3,811.9 passing yards · 35.4 passing TDs. Shrunk competitive EPA above a positional baseline: 6.35. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,026 pass yds, 11 TD, 4 INT | -2 | #11 | Experimental |
| 22 | Rashee RiceKC · WR3 games played. Projected finish: 1,073.1 receiving yards · 7.5 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. | 190 rec yds, 1 TD | -2 | #148 | Experimental |
| 23 | Jared GoffDET · QB4 games played. Projected finish: 4,931.8 passing yards · 36.6 passing TDs. Shrunk competitive EPA above a positional baseline: 5.01. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,214 pass yds, 9 TD, 0 INT · 15 rush yds, 0 TD | -9 | #16 | Experimental |
| 24 | Dak PrescottDAL · QB4 games played. Projected finish: 4,536.1 passing yards · 32.5 passing TDs. Shrunk competitive EPA above a positional baseline: 11.26. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 1,065 pass yds, 8 TD, 1 INT · 66 rush yds, 0 TD | +5 | #3 | Experimental |
| 25 | Deshaun WatsonCLE · QB4 games played. Projected finish: 3,372.1 passing yards · 23.2 passing TDs. Shrunk competitive EPA above a positional baseline: 2.22. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 855 pass yds, 6 TD, 2 INT · 127 rush yds, 0 TD | +14 | #36 | 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.