Players — 2024 Week 5
Scoring: Full PPR · 6-pt pass TD
WR fantasy football rankings for the 2025 season, ordered by the expected total (the projection counted against the “Chance he plays” figure).
Today's model, trained only on what was known by 2024 Week 5; some calibration settings were measured on later seasons.
Projected fantasy points for the 2025 season · Directional — lower confidence this far out
| # | Player | Team | Median | Floor (P10) | Ceiling (P90) | Chance he plays |
|---|---|---|---|---|---|---|
| 1 | CeeDee Lamb | DAL | 245.7 | 146.6 | 341.5 | 98% |
| 2 | Amon-Ra St. Brown | DET | 240.5 | 130.3 | 344.7 | 98% |
| 3 | Justin Jefferson | MIN | 229.5 | 128.7 | 335.7 | 98% |
| 4 | Ja'Marr Chase | CIN | 223.0 | 123.5 | 326.2 | 98% |
| 5 | DeVonta Smith | PHI | 217.4 | 120.5 | 327.4 | 98% |
| 6 | Cooper Kupp | LAR | 221.5 | 121.4 | 319.7 | 96% |
| 7 | Rashee Rice | KC | 206.5 | 120.4 | 294.2 | 98% |
| 8 | Chris Olave | NO | 207.0 | 114.4 | 301.6 | 98% |
| 9 | Davante Adams | LV | 209.5 | 114.0 | 297.5 | 96% |
| 10 | D.K. Metcalf | SEA | 202.6 | 100.8 | 307.1 | 98% |
| 11 | D.J. Moore | CHI | 203.0 | 100.1 | 294.9 | 97% |
| 12 | Chris Godwin | TB | 204.0 | 104.9 | 292.3 | 97% |
| 13 | Garrett Wilson | NYJ | 197.2 | 98.7 | 295.4 | 98% |
| 14 | A.J. Brown | PHI | 193.8 | 98.4 | 296.9 | 98% |
| 15 | Jaylen Waddle | MIA | 191.4 | 96.2 | 280.5 | 98% |
| 16 | Zay Flowers | BAL | 183.0 | 76.1 | 288.8 | 98% |
| 17 | Puka Nacua | LAR | 179.4 | 80.1 | 272.7 | 99% |
| 18 | Tank Dell | HOU | 180.0 | 66.4 | 275.6 | 98% |
| 19 | Nico Collins | HOU | 170.4 | 80.9 | 269.6 | 98% |
| 20 | Brandon Aiyuk | SF | 172.1 | 72.6 | 274.8 | 98% |
| 21 | Drake London | ATL | 167.2 | 79.4 | 256.7 | 99% |
| 22 | Michael Pittman Jr. | IND | 166.1 | 74.2 | 268.5 | 98% |
| 23 | Stefon Diggs | HOU | 166.1 | 64.0 | 266.8 | 96% |
| 24 | Terry McLaurin | WAS | 158.7 | 51.6 | 256.3 | 97% |
| 25 | Jayden Reed | GB | 152.8 | 73.4 | 246.1 | 98% |
| 26 | Deebo Samuel | SF | 151.1 | 48.5 | 250.6 | 97% |
| 27 | Calvin Ridley | TEN | 145.3 | 59.6 | 237.9 | 97% |
| 28 | Christian Kirk | JAX | 145.3 | 54.3 | 237.4 | 97% |
| 29 | Mike Evans | TB | 140.4 | 49.1 | 239.4 | 96% |
| 30 | Jerry Jeudy | CLE | 137.3 | 51.7 | 227.2 | 98% |
| 31 | George Pickens | PIT | 136.4 | 33.6 | 241.7 | 99% |
| 32 | Rashid Shaheed | NO | 139.0 | 60.1 | 217.4 | 98% |
| 33 | Jordan Addison | MIN | 134.4 | 41.4 | 225.8 | 99% |
| 34 | Jakobi Meyers | LV | 126.7 | 41.1 | 209.6 | 97% |
| 35 | Gabriel Davis | JAX | 120.9 | 30.5 | 218.8 | 98% |
| 36 | Jaxon Smith-Njigba | SEA | 147.6 | 65.8 | 272.3 | 74% |
| 37 | Romeo Doubs | GB | 158.6 | 77.0 | 283.8 | 67% |
| 38 | Courtland Sutton | DEN | 108.3 | 21.6 | 209.4 | 97% |
| 39 | Tee Higgins | CIN | 151.3 | 65.6 | 282.7 | 63% |
| 40 | Josh Downs | IND | 99.6 | 25.1 | 182.2 | 99% |
| 41 | Keenan Allen | CHI | 96.2 | 12.4 | 186.0 | 95% |
| 42 | Wan'Dale Robinson | NYG | 121.0 | 48.1 | 241.5 | 70% |
| 43 | Dontayvion Wicks | GB | 112.5 | 30.1 | 236.6 | 72% |
| 44 | Elijah Moore | CLE | 118.4 | 41.7 | 241.1 | 67% |
| 45 | Joshua Palmer | LAC | 115.7 | 34.4 | 245.2 | 65% |
| 46 | Jahan Dotson | PHI | 109.0 | 27.4 | 234.1 | 67% |
| 47 | DeMario Douglas | NE | 100.6 | 29.5 | 218.8 | 70% |
| 48 | Khalil Shakir | BUF | 96.1 | 21.4 | 220.2 | 67% |
| 49 | Quentin Johnston | LAC | 85.0 | 11.3 | 209.3 | 72% |
| 50 | Michael Wilson | ARI | 96.4 | 18.7 | 221.3 | 67% |
| 51 | Jalin Hyatt | NYG | 78.2 | 25.3 | 205.9 | 73% |
| 52 | Trey Palmer | TB | 86.3 | 12.4 | 209.6 | 71% |
| 53 | Tutu Atwell | LAR | 89.3 | 13.3 | 213.8 | 65% |
| 54 | Xavier Gipson | NYJ | 69.7 | 17.6 | 197.3 | 70% |
| 55 | Jonathan Mingo | CAR | 80.9 | 12.8 | 199.9 | 71% |
| 56 | K.J. Osborn | NE | 89.3 | 13.4 | 213.6 | 59% |
| 57 | Alec Pierce | IND | 79.2 | 7.8 | 203.5 | 68% |
| 58 | Christian Watson | GB | 79.6 | 13.0 | 204.7 | 64% |
| 59 | Parker Washington | JAX | 61.3 | 10.1 | 190.3 | 75% |
| 60 | Jameson Williams | DET | 68.2 | 8.9 | 191.3 | 71% |
| 61 | Skyy Moore | KC | 64.9 | 10.9 | 193.8 | 69% |
| 62 | Marvin Mims | DEN | 63.9 | 0.9 | 185.9 | 75% |
| 63 | Darnell Mooney | ATL | 74.4 | 20.6 | 202.4 | 60% |
| 64 | Tre Tucker | LV | 60.3 | 7.5 | 184.3 | 70% |
| 65 | Andrei Iosivas | CIN | 56.7 | 17.1 | 185.6 | 66% |
| 66 | Jalen Tolbert | DAL | 64.3 | 9.9 | 193.3 | 63% |
| 67 | Greg Dortch | ARI | 64.0 | 9.6 | 192.9 | 61% |
| 68 | Marquise Brown † | KC | 100.6 | 21.9 | 225.5 | 46% |
| 69 | Cedric Tillman | CLE | 53.9 | 4.7 | 181.6 | 68% |
| 70 | Calvin Austin III | PIT | 57.1 | 12.4 | 185.8 | 64% |
| 71 | Kalif Raymond | DET | 73.6 | 21.5 | 201.3 | 53% |
| 72 | Jake Bobo | SEA | 57.4 | 11.0 | 186.3 | 62% |
| 73 | Rashod Bateman | BAL | 59.8 | 1.9 | 181.2 | 66% |
| 74 | Derius Davis | LAC | 42.2 | 8.7 | 169.9 | 69% |
| 75 | Treylon Burks | TEN | 50.5 | 2.7 | 178.2 | 67% |
| 76 | Brandon Johnson † | DEN | 71.7 | 17.8 | 200.6 | 51% |
| 77 | John Metchie | HOU | 45.4 | 1.3 | 173.0 | 68% |
| 78 | Tyquan Thornton | NE | 41.3 | 5.1 | 168.9 | 69% |
| 79 | Dyami Brown | WAS | 40.5 | 0.3 | 169.3 | 66% |
| 80 | Malik Heath | GB | 42.1 | 1.7 | 171.0 | 67% |
| 81 | Demarcus Robinson | LAR | 64.6 | 12.6 | 193.6 | 53% |
| 82 | Lil'Jordan Humphrey | DEN | 46.1 | 7.5 | 175.0 | 61% |
| 83 | Ronnie Bell | SF | 38.0 | 8.5 | 166.8 | 66% |
| 84 | Kayshon Boutte | NE | 30.7 | 0.7 | 158.8 | 75% |
| 85 | Nick Westbrook-Ikhine † | TEN | 71.4 | 14.9 | 200.4 | 44% |
| 86 | Jauan Jennings | SF | 45.5 | 0.2 | 173.5 | 59% |
| 87 | Xavier Hutchinson | HOU | 32.6 | 4.0 | 160.3 | 68% |
| 88 | KaVontae Turpin | DAL | 37.8 | 16.0 | 163.4 | 57% |
| 89 | Jalen Brooks | DAL | 35.0 | 8.5 | 138.4 | 68% |
| 90 | Deven Thompkins † | TB | 40.5 | 5.1 | 169.3 | 58% |
| 91 | Olamide Zaccheaus | WAS | 30.7 | 0.0 | 159.6 | 59% |
| 92 | Scotty Miller | PIT | 31.2 | 0.0 | 160.1 | 59% |
| 93 | Kendrick Bourne † | NE | 75.4 | 5.0 | 205.1 | 38% |
| 94 | Mack Hollins | BUF | 42.9 | 19.5 | 145.7 | 51% |
| 95 | Charlie Jones | CIN | 31.8 | 6.4 | 134.8 | 63% |
| 96 | Braxton Berrios | MIA | 30.8 | 0.4 | 157.8 | 55% |
| 97 | Jalen Reagor † | NE | 41.3 | 15.5 | 144.4 | 53% |
| 98 | Marquez Valdes-Scantling | BUF | 35.5 | -1.3 | 163.3 | 53% |
| 99 | Van Jefferson | PIT | 34.1 | 10.8 | 137.0 | 57% |
| 100 | Tyler Johnson | LAR | 24.7 | 3.6 | 128.3 | 62% |
| 101 | Jalen Nailor | MIN | 23.8 | 0.8 | 126.8 | 63% |
| 102 | Tim Jones † | JAX | 33.9 | 9.5 | 136.9 | 50% |
| 103 | Chris Moore † | ARI | 55.9 | 9.8 | 181.0 | 30% |
| 104 | Simi Fehoko | LAC | 19.0 | 2.0 | 122.3 | 60% |
| 105 | Austin Trammell † | LAR | 21.7 | 0.6 | 124.7 | 50% |
| 106 | D'Wayne Eskridge | MIA | 14.2 | 0.1 | 116.7 | 58% |
| 107 | Devin Duvernay | JAX | 14.0 | 0.8 | 116.3 | 60% |
| 108 | Tylan Wallace † | BAL | 20.3 | 0.3 | 123.3 | 55% |
| 109 | Ben Skowronek † | PIT | 28.6 | 4.0 | 131.8 | 46% |
| 110 | Odell Beckham Jr. † | BAL | 59.5 | 0.1 | 182.3 | 28% |
| 111 | Britain Covey | PHI | 12.3 | 0.0 | 114.5 | 58% |
| 112 | Trent Sherfield | MIN | 12.2 | 0.0 | 114.4 | 56% |
| 113 | David Moore | CAR | 11.8 | -0.1 | 114.0 | 54% |
| 114 | KhaDarel Hodge † | ATL | 28.7 | 5.9 | 131.5 | 32% |
| 115 | Sterling Shepard | TB | 9.3 | -1.3 | 110.5 | 50% |
| 116 | D.J. Montgomery † | IND | 14.2 | 0.0 | 116.8 | 43% |
| 117 | Mike Strachan † | CAR | 12.6 | 0.0 | 114.8 | 46% |
| 118 | Irvin Charles † | NYJ | 5.3 | 0.0 | 106.1 | 45% |
| 119 | Gunner Olszewski † | NYG | 2.6 | -1.8 | 102.6 | 43% |
| 120 | Laquon Treadwell † | BAL | 3.9 | 0.0 | 104.3 | 37% |
-
1. CeeDee LambDAL245.7 median
- Floor (P10)
- 146.6
- Ceiling (P90)
- 341.5
- Chance he plays
- 98%
-
DET240.5 median
- Floor (P10)
- 130.3
- Ceiling (P90)
- 344.7
- Chance he plays
- 98%
-
MIN229.5 median
- Floor (P10)
- 128.7
- Ceiling (P90)
- 335.7
- Chance he plays
- 98%
-
CIN223.0 median
- Floor (P10)
- 123.5
- Ceiling (P90)
- 326.2
- Chance he plays
- 98%
-
PHI217.4 median
- Floor (P10)
- 120.5
- Ceiling (P90)
- 327.4
- Chance he plays
- 98%
-
6. Cooper KuppLAR221.5 median
- Floor (P10)
- 121.4
- Ceiling (P90)
- 319.7
- Chance he plays
- 96%
-
7. Rashee RiceKC206.5 median
- Floor (P10)
- 120.4
- Ceiling (P90)
- 294.2
- Chance he plays
- 98%
-
8. Chris OlaveNO207.0 median
- Floor (P10)
- 114.4
- Ceiling (P90)
- 301.6
- Chance he plays
- 98%
-
LV209.5 median
- Floor (P10)
- 114.0
- Ceiling (P90)
- 297.5
- Chance he plays
- 96%
-
10. D.K. MetcalfSEA202.6 median
- Floor (P10)
- 100.8
- Ceiling (P90)
- 307.1
- Chance he plays
- 98%
-
11. D.J. MooreCHI203.0 median
- Floor (P10)
- 100.1
- Ceiling (P90)
- 294.9
- Chance he plays
- 97%
-
12. Chris GodwinTB204.0 median
- Floor (P10)
- 104.9
- Ceiling (P90)
- 292.3
- Chance he plays
- 97%
-
13. Garrett WilsonNYJ197.2 median
- Floor (P10)
- 98.7
- Ceiling (P90)
- 295.4
- Chance he plays
- 98%
-
14. A.J. BrownPHI193.8 median
- Floor (P10)
- 98.4
- Ceiling (P90)
- 296.9
- Chance he plays
- 98%
-
15. Jaylen WaddleMIA191.4 median
- Floor (P10)
- 96.2
- Ceiling (P90)
- 280.5
- Chance he plays
- 98%
-
16. Zay FlowersBAL183.0 median
- Floor (P10)
- 76.1
- Ceiling (P90)
- 288.8
- Chance he plays
- 98%
-
17. Puka NacuaLAR179.4 median
- Floor (P10)
- 80.1
- Ceiling (P90)
- 272.7
- Chance he plays
- 99%
-
18. Tank DellHOU180.0 median
- Floor (P10)
- 66.4
- Ceiling (P90)
- 275.6
- Chance he plays
- 98%
-
19. Nico CollinsHOU170.4 median
- Floor (P10)
- 80.9
- Ceiling (P90)
- 269.6
- Chance he plays
- 98%
-
20. Brandon AiyukSF172.1 median
- Floor (P10)
- 72.6
- Ceiling (P90)
- 274.8
- Chance he plays
- 98%
-
21. Drake LondonATL167.2 median
- Floor (P10)
- 79.4
- Ceiling (P90)
- 256.7
- Chance he plays
- 99%
-
IND166.1 median
- Floor (P10)
- 74.2
- Ceiling (P90)
- 268.5
- Chance he plays
- 98%
-
23. Stefon DiggsHOU166.1 median
- Floor (P10)
- 64.0
- Ceiling (P90)
- 266.8
- Chance he plays
- 96%
-
24. Terry McLaurinWAS158.7 median
- Floor (P10)
- 51.6
- Ceiling (P90)
- 256.3
- Chance he plays
- 97%
-
25. Jayden ReedGB152.8 median
- Floor (P10)
- 73.4
- Ceiling (P90)
- 246.1
- Chance he plays
- 98%
-
26. Deebo SamuelSF151.1 median
- Floor (P10)
- 48.5
- Ceiling (P90)
- 250.6
- Chance he plays
- 97%
-
27. Calvin RidleyTEN145.3 median
- Floor (P10)
- 59.6
- Ceiling (P90)
- 237.9
- Chance he plays
- 97%
-
28. Christian KirkJAX145.3 median
- Floor (P10)
- 54.3
- Ceiling (P90)
- 237.4
- Chance he plays
- 97%
-
29. Mike EvansTB140.4 median
- Floor (P10)
- 49.1
- Ceiling (P90)
- 239.4
- Chance he plays
- 96%
-
30. Jerry JeudyCLE137.3 median
- Floor (P10)
- 51.7
- Ceiling (P90)
- 227.2
- Chance he plays
- 98%
-
31. George PickensPIT136.4 median
- Floor (P10)
- 33.6
- Ceiling (P90)
- 241.7
- Chance he plays
- 99%
-
32. Rashid ShaheedNO139.0 median
- Floor (P10)
- 60.1
- Ceiling (P90)
- 217.4
- Chance he plays
- 98%
-
33. Jordan AddisonMIN134.4 median
- Floor (P10)
- 41.4
- Ceiling (P90)
- 225.8
- Chance he plays
- 99%
-
34. Jakobi MeyersLV126.7 median
- Floor (P10)
- 41.1
- Ceiling (P90)
- 209.6
- Chance he plays
- 97%
-
35. Gabriel DavisJAX120.9 median
- Floor (P10)
- 30.5
- Ceiling (P90)
- 218.8
- Chance he plays
- 98%
-
SEA147.6 median
- Floor (P10)
- 65.8
- Ceiling (P90)
- 272.3
- Chance he plays
- 74%
-
37. Romeo DoubsGB158.6 median
- Floor (P10)
- 77.0
- Ceiling (P90)
- 283.8
- Chance he plays
- 67%
-
38. Courtland SuttonDEN108.3 median
- Floor (P10)
- 21.6
- Ceiling (P90)
- 209.4
- Chance he plays
- 97%
-
39. Tee HigginsCIN151.3 median
- Floor (P10)
- 65.6
- Ceiling (P90)
- 282.7
- Chance he plays
- 63%
-
40. Josh DownsIND99.6 median
- Floor (P10)
- 25.1
- Ceiling (P90)
- 182.2
- Chance he plays
- 99%
-
41. Keenan AllenCHI96.2 median
- Floor (P10)
- 12.4
- Ceiling (P90)
- 186.0
- Chance he plays
- 95%
-
NYG121.0 median
- Floor (P10)
- 48.1
- Ceiling (P90)
- 241.5
- Chance he plays
- 70%
-
43. Dontayvion WicksGB112.5 median
- Floor (P10)
- 30.1
- Ceiling (P90)
- 236.6
- Chance he plays
- 72%
-
44. Elijah MooreCLE118.4 median
- Floor (P10)
- 41.7
- Ceiling (P90)
- 241.1
- Chance he plays
- 67%
-
45. Joshua PalmerLAC115.7 median
- Floor (P10)
- 34.4
- Ceiling (P90)
- 245.2
- Chance he plays
- 65%
-
46. Jahan DotsonPHI109.0 median
- Floor (P10)
- 27.4
- Ceiling (P90)
- 234.1
- Chance he plays
- 67%
-
47. DeMario DouglasNE100.6 median
- Floor (P10)
- 29.5
- Ceiling (P90)
- 218.8
- Chance he plays
- 70%
-
48. Khalil ShakirBUF96.1 median
- Floor (P10)
- 21.4
- Ceiling (P90)
- 220.2
- Chance he plays
- 67%
-
49. Quentin JohnstonLAC85.0 median
- Floor (P10)
- 11.3
- Ceiling (P90)
- 209.3
- Chance he plays
- 72%
-
50. Michael WilsonARI96.4 median
- Floor (P10)
- 18.7
- Ceiling (P90)
- 221.3
- Chance he plays
- 67%
-
51. Jalin HyattNYG78.2 median
- Floor (P10)
- 25.3
- Ceiling (P90)
- 205.9
- Chance he plays
- 73%
-
52. Trey PalmerTB86.3 median
- Floor (P10)
- 12.4
- Ceiling (P90)
- 209.6
- Chance he plays
- 71%
-
53. Tutu AtwellLAR89.3 median
- Floor (P10)
- 13.3
- Ceiling (P90)
- 213.8
- Chance he plays
- 65%
-
54. Xavier GipsonNYJ69.7 median
- Floor (P10)
- 17.6
- Ceiling (P90)
- 197.3
- Chance he plays
- 70%
-
55. Jonathan MingoCAR80.9 median
- Floor (P10)
- 12.8
- Ceiling (P90)
- 199.9
- Chance he plays
- 71%
-
56. K.J. OsbornNE89.3 median
- Floor (P10)
- 13.4
- Ceiling (P90)
- 213.6
- Chance he plays
- 59%
-
57. Alec PierceIND79.2 median
- Floor (P10)
- 7.8
- Ceiling (P90)
- 203.5
- Chance he plays
- 68%
-
58. Christian WatsonGB79.6 median
- Floor (P10)
- 13.0
- Ceiling (P90)
- 204.7
- Chance he plays
- 64%
-
JAX61.3 median
- Floor (P10)
- 10.1
- Ceiling (P90)
- 190.3
- Chance he plays
- 75%
-
60. Jameson WilliamsDET68.2 median
- Floor (P10)
- 8.9
- Ceiling (P90)
- 191.3
- Chance he plays
- 71%
-
61. Skyy MooreKC64.9 median
- Floor (P10)
- 10.9
- Ceiling (P90)
- 193.8
- Chance he plays
- 69%
-
62. Marvin MimsDEN63.9 median
- Floor (P10)
- 0.9
- Ceiling (P90)
- 185.9
- Chance he plays
- 75%
-
63. Darnell MooneyATL74.4 median
- Floor (P10)
- 20.6
- Ceiling (P90)
- 202.4
- Chance he plays
- 60%
-
64. Tre TuckerLV60.3 median
- Floor (P10)
- 7.5
- Ceiling (P90)
- 184.3
- Chance he plays
- 70%
-
65. Andrei IosivasCIN56.7 median
- Floor (P10)
- 17.1
- Ceiling (P90)
- 185.6
- Chance he plays
- 66%
-
66. Jalen TolbertDAL64.3 median
- Floor (P10)
- 9.9
- Ceiling (P90)
- 193.3
- Chance he plays
- 63%
-
67. Greg DortchARI64.0 median
- Floor (P10)
- 9.6
- Ceiling (P90)
- 192.9
- Chance he plays
- 61%
-
KC100.6 median
- Floor (P10)
- 21.9
- Ceiling (P90)
- 225.5
- Chance he plays
- 46%
-
69. Cedric TillmanCLE53.9 median
- Floor (P10)
- 4.7
- Ceiling (P90)
- 181.6
- Chance he plays
- 68%
-
PIT57.1 median
- Floor (P10)
- 12.4
- Ceiling (P90)
- 185.8
- Chance he plays
- 64%
-
71. Kalif RaymondDET73.6 median
- Floor (P10)
- 21.5
- Ceiling (P90)
- 201.3
- Chance he plays
- 53%
-
72. Jake BoboSEA57.4 median
- Floor (P10)
- 11.0
- Ceiling (P90)
- 186.3
- Chance he plays
- 62%
-
73. Rashod BatemanBAL59.8 median
- Floor (P10)
- 1.9
- Ceiling (P90)
- 181.2
- Chance he plays
- 66%
-
74. Derius DavisLAC42.2 median
- Floor (P10)
- 8.7
- Ceiling (P90)
- 169.9
- Chance he plays
- 69%
-
75. Treylon BurksTEN50.5 median
- Floor (P10)
- 2.7
- Ceiling (P90)
- 178.2
- Chance he plays
- 67%
-
DEN71.7 median
- Floor (P10)
- 17.8
- Ceiling (P90)
- 200.6
- Chance he plays
- 51%
-
77. John MetchieHOU45.4 median
- Floor (P10)
- 1.3
- Ceiling (P90)
- 173.0
- Chance he plays
- 68%
-
78. Tyquan ThorntonNE41.3 median
- Floor (P10)
- 5.1
- Ceiling (P90)
- 168.9
- Chance he plays
- 69%
-
79. Dyami BrownWAS40.5 median
- Floor (P10)
- 0.3
- Ceiling (P90)
- 169.3
- Chance he plays
- 66%
-
80. Malik HeathGB42.1 median
- Floor (P10)
- 1.7
- Ceiling (P90)
- 171.0
- Chance he plays
- 67%
-
LAR64.6 median
- Floor (P10)
- 12.6
- Ceiling (P90)
- 193.6
- Chance he plays
- 53%
-
DEN46.1 median
- Floor (P10)
- 7.5
- Ceiling (P90)
- 175.0
- Chance he plays
- 61%
-
83. Ronnie BellSF38.0 median
- Floor (P10)
- 8.5
- Ceiling (P90)
- 166.8
- Chance he plays
- 66%
-
84. Kayshon BoutteNE30.7 median
- Floor (P10)
- 0.7
- Ceiling (P90)
- 158.8
- Chance he plays
- 75%
-
TEN71.4 median
- Floor (P10)
- 14.9
- Ceiling (P90)
- 200.4
- Chance he plays
- 44%
-
86. Jauan JenningsSF45.5 median
- Floor (P10)
- 0.2
- Ceiling (P90)
- 173.5
- Chance he plays
- 59%
-
HOU32.6 median
- Floor (P10)
- 4.0
- Ceiling (P90)
- 160.3
- Chance he plays
- 68%
-
88. KaVontae TurpinDAL37.8 median
- Floor (P10)
- 16.0
- Ceiling (P90)
- 163.4
- Chance he plays
- 57%
-
89. Jalen BrooksDAL35.0 median
- Floor (P10)
- 8.5
- Ceiling (P90)
- 138.4
- Chance he plays
- 68%
-
TB40.5 median
- Floor (P10)
- 5.1
- Ceiling (P90)
- 169.3
- Chance he plays
- 58%
-
WAS30.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 159.6
- Chance he plays
- 59%
-
92. Scotty MillerPIT31.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 160.1
- Chance he plays
- 59%
-
NE75.4 median
- Floor (P10)
- 5.0
- Ceiling (P90)
- 205.1
- Chance he plays
- 38%
-
94. Mack HollinsBUF42.9 median
- Floor (P10)
- 19.5
- Ceiling (P90)
- 145.7
- Chance he plays
- 51%
-
95. Charlie JonesCIN31.8 median
- Floor (P10)
- 6.4
- Ceiling (P90)
- 134.8
- Chance he plays
- 63%
-
96. Braxton BerriosMIA30.8 median
- Floor (P10)
- 0.4
- Ceiling (P90)
- 157.8
- Chance he plays
- 55%
-
NE41.3 median
- Floor (P10)
- 15.5
- Ceiling (P90)
- 144.4
- Chance he plays
- 53%
-
BUF35.5 median
- Floor (P10)
- -1.3
- Ceiling (P90)
- 163.3
- Chance he plays
- 53%
-
99. Van JeffersonPIT34.1 median
- Floor (P10)
- 10.8
- Ceiling (P90)
- 137.0
- Chance he plays
- 57%
-
100. Tyler JohnsonLAR24.7 median
- Floor (P10)
- 3.6
- Ceiling (P90)
- 128.3
- Chance he plays
- 62%
-
101. Jalen NailorMIN23.8 median
- Floor (P10)
- 0.8
- Ceiling (P90)
- 126.8
- Chance he plays
- 63%
-
JAX33.9 median
- Floor (P10)
- 9.5
- Ceiling (P90)
- 136.9
- Chance he plays
- 50%
-
ARI55.9 median
- Floor (P10)
- 9.8
- Ceiling (P90)
- 181.0
- Chance he plays
- 30%
-
104. Simi FehokoLAC19.0 median
- Floor (P10)
- 2.0
- Ceiling (P90)
- 122.3
- Chance he plays
- 60%
-
LAR21.7 median
- Floor (P10)
- 0.6
- Ceiling (P90)
- 124.7
- Chance he plays
- 50%
-
106. D'Wayne EskridgeMIA14.2 median
- Floor (P10)
- 0.1
- Ceiling (P90)
- 116.7
- Chance he plays
- 58%
-
107. Devin DuvernayJAX14.0 median
- Floor (P10)
- 0.8
- Ceiling (P90)
- 116.3
- Chance he plays
- 60%
-
BAL20.3 median
- Floor (P10)
- 0.3
- Ceiling (P90)
- 123.3
- Chance he plays
- 55%
-
PIT28.6 median
- Floor (P10)
- 4.0
- Ceiling (P90)
- 131.8
- Chance he plays
- 46%
-
BAL59.5 median
- Floor (P10)
- 0.1
- Ceiling (P90)
- 182.3
- Chance he plays
- 28%
-
111. Britain CoveyPHI12.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 114.5
- Chance he plays
- 58%
-
112. Trent SherfieldMIN12.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 114.4
- Chance he plays
- 56%
-
113. David MooreCAR11.8 median
- Floor (P10)
- -0.1
- Ceiling (P90)
- 114.0
- Chance he plays
- 54%
-
ATL28.7 median
- Floor (P10)
- 5.9
- Ceiling (P90)
- 131.5
- Chance he plays
- 32%
-
115. Sterling ShepardTB9.3 median
- Floor (P10)
- -1.3
- Ceiling (P90)
- 110.5
- Chance he plays
- 50%
-
IND14.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 116.8
- Chance he plays
- 43%
-
CAR12.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 114.8
- Chance he plays
- 46%
-
NYJ5.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 106.1
- Chance he plays
- 45%
-
NYG2.6 median
- Floor (P10)
- -1.8
- Ceiling (P90)
- 102.6
- Chance he plays
- 43%
-
BAL3.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 104.3
- Chance he plays
- 37%
Ordered by the expected total — the projection counted against the “Chance he plays” figure beside it. A row can therefore rank above one with a larger “Median”.
About these numbers
Some seasons ahead are not ranked for WR here, because what we have for them doesn't hold up; the seasons offered above are the ones we publish.
Early read: these figures are projected for him individually, and the chance he plays is the historical rate for players who carried his workload at his age.
He was not a full-time starter last season. These figures start from his own most recent season and move every stat he is scored on by how much players at his position and age have actually changed over the same span. The range around them moves those stats together, the way real seasons did, and was widened by exactly as much as we measured it had been too narrow, and the chance he plays is the historical rate for players like him at his age.
18 players here are projected from the 2023 season, marked † below: no game in 2024. The number comes from the model that looks 2 seasons ahead of a 2023 season, to reach the 2025 season. From a 2023 season we publish through 2026 and no further.
Only 38 of the 120 players here were full-time starters last season projected for them individually, and what follows is about them: This range carries a correction we measured. We compared the season-ahead ranges we had published against the seasons that actually followed, found them about 12% too narrow and centered about 8% of a range's width too low, and moved them by exactly what that comparison measured — nothing was widened to make a number look better. The figure above is a prediction from the corrected model.
About this range: we checked ranges like it against the seasons that actually followed, and it held at both levels we test — 84% of real seasons landed inside the 80% range and 93% inside the 90% range, measured on 251 player-seasons. What that testing could not settle, using only the seasons completed by then (through 2023), is whether this projection is more accurate than a simple baseline. We publish it because the range holds, not because it has been shown to beat one.
Only 38 of the 120 players here are projected for them individually, and what follows is about them: What this number leaves out, on purpose: rushing yards and rushing first downs. We tested our rushing yards projection at this horizon against the simplest baseline there is — projecting none at all — over 1,340 past player-seasons. Ours was off by 14.4 rushing yards a season and the baseline by 10.9, so it did not beat the baseline and we publish it as none rather than as a figure we cannot stand behind. For scale, rushing of every kind was 1.7% of what this position actually scored over those same seasons. Nothing else above is affected.
What these columns mean
- Team
- — His club today, from the current roster — not a week's depth chart, because these figures are for the 2025 season rather than for one game.
- Median
- — The middle of our projected fantasy points for the 2025 season: half of the simulated outcomes come in above it.
- Floor (P10)
- — The 10th percentile of the same projection: 10% of simulated outcomes come in below it.
- Ceiling (P90)
- — The 90th percentile: only 10% of simulated outcomes come in above it.
- Chance he plays
- — The chance he plays at least one game in the 2025 season. The figures to its left are for a season in which he plays at least one game, counting the games he may miss, which is not a promise of his role: on 8 rows here the floor is 0.0, because the range reaches down to seasons where a player's whole workload fell away; where it is a dash, the row carries no such chance and its figures already count the seasons he might not play.