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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
Denzel Boston
CLE · WR
Historical top-three hit rate
67%
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: 33%. Winner coverage: 100%. Log loss: 2.66. Brier score: 0.81.
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 · 51 candidates
| Rank | Candidate | Season line | Weekly move | Performance rank | Win probability |
|---|---|---|---|---|---|
| 1 | Denzel BostonCLE · WR2 games played. Projected finish: 833.2 receiving yards · 8.8 receiving TDs. Shrunk competitive EPA above a positional baseline: 0.01. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 154 rec yds, 2 TD | +6 | #9 | Experimental |
| 2 | Caleb DouglasMIA · WR2 games played. Projected finish: 689.7 receiving yards · 1.8 receiving TDs. Shrunk competitive EPA above a positional baseline: -0.06. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 113 rec yds, 0 TD | -1 | #38 | Experimental |
| 3 | Emmett JohnsonKC · RB2 games played. Projected finish: 421.4 rushing yards · 1.9 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.15. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 39 rush yds, 0 TD · 64 rec yds, 0 TD | -1 | #4 | Experimental |
| 4 | Jack StrandATL · QB1 games played. Projected finish: 2,317.7 passing yards · 14.2 passing TDs. Shrunk competitive EPA above a positional baseline: unavailable. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 59 pass yds, 0 TD, 1 INT · 16 rush yds, 0 TD | Unavailable | Unavailable | Experimental |
| 5 | Antonio WilliamsWAS · WR2 games played. Projected finish: 602.2 receiving yards · 5.3 receiving TDs. Shrunk competitive EPA above a positional baseline: 0.03. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 88 rec yds, 1 TD | +1 | #6 | Experimental |
| 6 | Jeremiyah LoveARI · RB2 games played. Projected finish: 529.9 rushing yards · 5.4 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. | 70 rush yds, 1 TD · 25 rec yds, 0 TD | -3 | #1 | Experimental |
| 7 | Jonah ColemanDEN · RB2 games played. Projected finish: 421.4 rushing yards · 5.4 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.20. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 39 rush yds, 1 TD · 19 rec yds, 0 TD | +7 | #3 | Experimental |
| 8 | KC ConcepcionCLE · WR2 games played. Projected finish: 542.7 receiving yards · 1.8 receiving TDs. Shrunk competitive EPA above a positional baseline: -0.25. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 9 rush yds, 0 TD · 71 rec yds, 0 TD | +1 | #43 | Experimental |
| 9 | Omar Cooper Jr.NYJ · WR1 games played. Projected finish: 473 receiving yards · 2.2 receiving TDs. Shrunk competitive EPA above a positional baseline: 0.00. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 30 rec yds, 0 TD | +9 | #12 | Experimental |
| 10 | Carnell TateTEN · WR2 games played. Projected finish: 521.7 receiving yards · 1.8 receiving TDs. Shrunk competitive EPA above a positional baseline: -0.16. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 65 rec yds, 0 TD | +6 | #41 | Experimental |
| 11 | Jadarian PriceSEA · RB2 games played. Projected finish: 648.9 rushing yards · 1.9 rushing TDs. Shrunk competitive EPA above a positional baseline: -0.04. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 104 rush yds, 0 TD · 14 rec yds, 0 TD | -6 | #36 | Experimental |
| 12 | Bryce LanceNO · WR2 games played. Projected finish: 469.2 receiving yards · 1.8 receiving TDs. Shrunk competitive EPA above a positional baseline: -0.02. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 50 rec yds, 0 TD | -1 | #30 | Experimental |
| 13 | Ted Hurst IIITB · WR2 games played. Projected finish: 514.7 receiving yards · 1.8 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. | 63 rec yds, 0 TD | +4 | #42 | Experimental |
| 14 | Kaelon BlackSF · RB2 games played. Projected finish: 599.9 rushing yards · 1.9 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.36. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 90 rush yds, 0 TD · 5 rec yds, 0 TD | -10 | #2 | Experimental |
| 15 | Malachi FieldsNYG · WR2 games played. Projected finish: 486.7 receiving yards · 1.8 receiving TDs. Shrunk competitive EPA above a positional baseline: -0.05. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 55 rec yds, 0 TD | +4 | #37 | Experimental |
| 16 | DJ HermanMIA · RB1 games played. Projected finish: 341.9 rushing yards · 2.3 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.00. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 18 rec yds, 0 TD | Unavailable | #11 | Experimental |
| 17 | Mike Washington Jr.LV · RB2 games played. Projected finish: 452.9 rushing yards · 1.9 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.00. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 48 rush yds, 0 TD | -9 | #18 | Experimental |
| 18 | Kaytron AllenWAS · RB2 games played. Projected finish: 424.9 rushing yards · 1.9 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.03. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 40 rush yds, 0 TD | -8 | #7 | Experimental |
| 19 | Eli HeidenreichPIT · RB2 games played. Projected finish: 284.9 rushing yards · 1.9 rushing TDs. Shrunk competitive EPA above a positional baseline: unavailable. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | – | -6 | Unavailable | Experimental |
| 20 | CJ DonaldsonNO · RB2 games played. Projected finish: 305.9 rushing yards · 1.9 rushing TDs. Shrunk competitive EPA above a positional baseline: 0.04. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 6 rush yds, 0 TD | -5 | #5 | Experimental |
| 21 | Josh CameronJAX · WR2 games played. Projected finish: 364.2 receiving yards · 5.3 receiving TDs. Shrunk competitive EPA above a positional baseline: 0.00. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 20 rec yds, 1 TD | +1 | #16 | Experimental |
| 22 | Seth McGowanIND · RB2 games played. Projected finish: 284.9 rushing yards · 1.9 rushing TDs. Shrunk competitive EPA above a positional baseline: -0.01. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | – | -10 | #28 | Experimental |
| 23 | Chris BellMIA · WR2 games played. Projected finish: 381.7 receiving yards · 1.8 receiving TDs. Shrunk competitive EPA above a positional baseline: -0.00. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 25 rec yds, 0 TD | -3 | #20 | Experimental |
| 24 | Germie BernardPIT · WR1 games played. Projected finish: 493 receiving yards · 2.2 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. | 35 rec yds, 0 TD | Unavailable | #35 | Experimental |
| 25 | Dohnte MeyersCIN · WR2 games played. Projected finish: 357.2 receiving yards · 1.8 receiving TDs. Shrunk competitive EPA above a positional baseline: -0.02. Main forecast factors
Factors describe the fitted model, not a causal explanation of voters. | 10 rush yds, 0 TD · 18 rec yds, 0 TD | -4 | #29 | 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.