Players — 2024 Week 5
Scoring: Full PPR · 6-pt pass TD
WR fantasy football rankings for the 2026 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 2026 season · Directional — lower confidence this far out
| # | Player | Team | Median | Floor (P10) | Ceiling (P90) | Chance he plays |
|---|---|---|---|---|---|---|
| 1 | Amon-Ra St. Brown | DET | 232.4 | 122.0 | 339.7 | 96% |
| 2 | CeeDee Lamb | DAL | 228.5 | 109.0 | 348.1 | 95% |
| 3 | Chris Olave | NO | 210.7 | 96.8 | 336.9 | 97% |
| 4 | Justin Jefferson | MIN | 204.0 | 83.6 | 325.2 | 96% |
| 5 | DeVonta Smith | PHI | 197.2 | 81.7 | 318.2 | 94% |
| 6 | Rashee Rice | KC | 187.6 | 85.4 | 298.4 | 97% |
| 7 | Ja'Marr Chase | CIN | 186.9 | 70.5 | 308.1 | 97% |
| 8 | Jaylen Waddle | MIA | 190.7 | 85.4 | 311.9 | 95% |
| 9 | A.J. Brown | PHI | 191.4 | 83.7 | 301.9 | 92% |
| 10 | D.J. Moore | CHI | 193.4 | 79.5 | 308.6 | 91% |
| 11 | Nico Collins | HOU | 179.0 | 59.1 | 306.1 | 95% |
| 12 | Drake London | ATL | 169.0 | 54.3 | 290.7 | 98% |
| 13 | Garrett Wilson | NYJ | 167.5 | 53.7 | 290.9 | 97% |
| 14 | Puka Nacua | LAR | 161.5 | 56.7 | 269.1 | 98% |
| 15 | D.K. Metcalf | SEA | 171.4 | 54.6 | 291.9 | 93% |
| 16 | Zay Flowers | BAL | 152.2 | 47.6 | 264.6 | 98% |
| 17 | Cooper Kupp | LAR | 171.0 | 81.3 | 262.7 | 87% |
| 18 | Jayden Reed | GB | 144.8 | 40.8 | 255.3 | 97% |
| 19 | Brandon Aiyuk | SF | 146.7 | 38.1 | 265.2 | 93% |
| 20 | Davante Adams | LV | 161.5 | 57.5 | 258.0 | 86% |
| 21 | Chris Godwin | TB | 152.4 | 54.6 | 247.8 | 90% |
| 22 | Terry McLaurin | WAS | 148.0 | 46.1 | 262.8 | 89% |
| 23 | Michael Pittman Jr. | IND | 140.4 | 38.7 | 251.7 | 92% |
| 24 | Jerry Jeudy | CLE | 137.3 | 22.2 | 253.7 | 95% |
| 25 | Jordan Addison | MIN | 129.0 | 30.9 | 232.2 | 99% |
| 26 | George Pickens | PIT | 125.8 | 23.8 | 240.3 | 98% |
| 27 | Tank Dell | HOU | 117.1 | 16.4 | 241.2 | 96% |
| 28 | Deebo Samuel | SF | 125.4 | 33.3 | 227.9 | 89% |
| 29 | Rashid Shaheed | NO | 116.3 | 15.6 | 234.3 | 94% |
| 30 | Jakobi Meyers | LV | 121.2 | 26.0 | 215.1 | 91% |
| 31 | Josh Downs | IND | 108.9 | 25.7 | 207.1 | 99% |
| 32 | Stefon Diggs | HOU | 125.2 | 33.5 | 224.8 | 87% |
| 33 | Calvin Ridley | TEN | 111.0 | 17.1 | 216.3 | 88% |
| 34 | Christian Kirk | JAX | 103.0 | 16.3 | 221.0 | 91% |
| 35 | Gabriel Davis | JAX | 99.6 | 19.0 | 208.7 | 95% |
| 36 | Jaxon Smith-Njigba | SEA | 138.0 | 37.2 | 281.5 | 64% |
| 37 | Mike Evans | TB | 102.6 | 19.5 | 202.2 | 87% |
| 38 | Romeo Doubs | GB | 151.8 | 51.0 | 295.3 | 54% |
| 39 | Courtland Sutton | DEN | 80.3 | 6.8 | 185.1 | 89% |
| 40 | Wan'Dale Robinson | NYG | 113.9 | 13.0 | 257.3 | 58% |
| 41 | Tee Higgins | CIN | 147.4 | 41.5 | 298.1 | 48% |
| 42 | Dontayvion Wicks | GB | 102.2 | 1.4 | 246.7 | 61% |
| 43 | Elijah Moore | CLE | 110.3 | 9.4 | 254.8 | 54% |
| 44 | Keenan Allen | CHI | 67.7 | 7.1 | 158.0 | 86% |
| 45 | Jahan Dotson | PHI | 102.6 | 1.7 | 246.1 | 54% |
| 46 | Joshua Palmer | LAC | 106.9 | 1.0 | 258.6 | 51% |
| 47 | DeMario Douglas | NE | 88.4 | 0.0 | 232.9 | 58% |
| 48 | Jalin Hyatt | NYG | 76.4 | 5.4 | 213.0 | 62% |
| 49 | Michael Wilson | ARI | 90.5 | 0.0 | 234.1 | 54% |
| 50 | Trey Palmer | TB | 79.0 | 0.0 | 223.5 | 60% |
| 51 | Quentin Johnston | LAC | 79.0 | 0.0 | 222.5 | 62% |
| 52 | Khalil Shakir | BUF | 90.2 | 0.0 | 233.7 | 53% |
| 53 | Jonathan Mingo | CAR | 67.1 | 0.0 | 210.6 | 60% |
| 54 | Xavier Gipson | NYJ | 67.5 | 0.0 | 204.1 | 59% |
| 55 | Rashod Bateman | BAL | 81.3 | 10.2 | 217.9 | 52% |
| 56 | Jameson Williams | DET | 62.8 | 0.0 | 206.3 | 60% |
| 57 | Parker Washington | JAX | 59.4 | 0.0 | 195.9 | 64% |
| 58 | Alec Pierce | IND | 72.6 | 0.0 | 216.0 | 55% |
| 59 | Tutu Atwell | LAR | 84.0 | 0.0 | 227.5 | 52% |
| 60 | Marvin Mims | DEN | 55.2 | -1.0 | 199.7 | 64% |
| 61 | Skyy Moore | KC | 63.6 | 0.0 | 200.2 | 56% |
| 62 | Kayshon Boutte | NE | 44.9 | 6.0 | 191.3 | 65% |
| 63 | Tre Tucker | LV | 54.9 | 0.0 | 198.4 | 59% |
| 64 | Christian Watson | GB | 76.7 | 0.0 | 220.2 | 50% |
| 65 | Andrei Iosivas | CIN | 54.6 | 0.0 | 191.2 | 52% |
| 66 | Xavier Hutchinson | HOU | 48.1 | 9.2 | 194.5 | 55% |
| 67 | Jalen Tolbert | DAL | 65.9 | 0.0 | 202.5 | 49% |
| 68 | Cedric Tillman | CLE | 51.4 | 0.0 | 188.0 | 54% |
| 69 | K.J. Osborn | NE | 73.3 | 0.0 | 216.8 | 41% |
| 70 | Darnell Mooney | ATL | 69.4 | 0.0 | 205.9 | 43% |
| 71 | Derius Davis | LAC | 39.7 | 0.0 | 176.2 | 56% |
| 72 | Calvin Austin III | PIT | 58.0 | 0.0 | 194.6 | 49% |
| 73 | Treylon Burks | TEN | 47.7 | 0.0 | 184.3 | 54% |
| 74 | John Metchie | HOU | 41.9 | 0.0 | 178.4 | 56% |
| 75 | Tyquan Thornton | NE | 38.8 | 0.0 | 175.3 | 56% |
| 76 | Dyami Brown | WAS | 38.6 | 0.0 | 175.1 | 52% |
| 77 | Jake Bobo | SEA | 56.3 | 0.0 | 192.9 | 46% |
| 78 | Malik Heath | GB | 40.4 | 0.0 | 177.0 | 54% |
| 79 | Jalen Brooks | DAL | 38.6 | 0.0 | 185.1 | 55% |
| 80 | Greg Dortch | ARI | 62.5 | 0.0 | 199.1 | 45% |
| 81 | Ronnie Bell | SF | 37.6 | 0.0 | 174.1 | 53% |
| 82 | Marquise Brown † | KC | 86.7 | 0.0 | 230.1 | 33% |
| 83 | Brandon Johnson † | DEN | 70.8 | 0.0 | 207.4 | 38% |
| 84 | Jalen Reagor † | NE | 46.8 | 7.9 | 193.3 | 41% |
| 85 | Deven Thompkins † | TB | 39.7 | 0.0 | 176.3 | 48% |
| 86 | Scotty Miller | PIT | 43.6 | 4.6 | 190.1 | 42% |
| 87 | Jalen Nailor | MIN | 30.0 | 0.0 | 176.5 | 49% |
| 88 | Olamide Zaccheaus | WAS | 42.9 | 4.0 | 189.4 | 42% |
| 89 | Charlie Jones | CIN | 35.9 | 0.0 | 182.4 | 47% |
| 90 | Kalif Raymond | DET | 77.0 | 6.0 | 213.6 | 30% |
| 91 | Lil'Jordan Humphrey | DEN | 43.7 | 0.0 | 180.2 | 45% |
| 92 | KaVontae Turpin | DAL | 45.2 | 6.3 | 191.6 | 38% |
| 93 | Demarcus Robinson | LAR | 67.2 | 0.0 | 203.8 | 31% |
| 94 | Tyler Johnson | LAR | 28.4 | 0.0 | 174.8 | 46% |
| 95 | Nick Westbrook-Ikhine † | TEN | 59.1 | 0.0 | 195.6 | 32% |
| 96 | Jauan Jennings | SF | 36.3 | 0.0 | 172.9 | 41% |
| 97 | Tim Jones † | JAX | 37.1 | 0.0 | 183.6 | 37% |
| 98 | Kendrick Bourne † | NE | 72.6 | 0.0 | 224.3 | 25% |
| 99 | Van Jefferson | PIT | 30.9 | 0.0 | 177.4 | 38% |
| 100 | Tylan Wallace † | BAL | 26.5 | 0.0 | 172.9 | 43% |
| 101 | D'Wayne Eskridge | MIA | 17.9 | 0.0 | 164.4 | 40% |
| 102 | Simi Fehoko | LAC | 19.7 | 0.0 | 166.1 | 43% |
| 103 | Braxton Berrios | MIA | 31.7 | 0.0 | 168.3 | 34% |
| 104 | Ben Skowronek † | PIT | 25.4 | 0.0 | 171.8 | 33% |
| 105 | Austin Trammell † | LAR | 25.4 | 0.0 | 171.9 | 38% |
| 106 | Marquez Valdes-Scantling | BUF | 36.2 | -1.8 | 172.8 | 31% |
| 107 | Devin Duvernay | JAX | 11.9 | 0.0 | 158.4 | 42% |
| 108 | Mack Hollins | BUF | 41.5 | 2.6 | 187.9 | 27% |
| 109 | Britain Covey | PHI | 5.4 | 0.0 | 151.8 | 40% |
| 110 | Sterling Shepard | TB | 37.8 | 0.0 | 184.2 | 25% |
| 111 | Trent Sherfield | MIN | 13.0 | 0.0 | 159.5 | 36% |
| 112 | David Moore | CAR | 22.6 | 0.0 | 169.1 | 32% |
| 113 | Odell Beckham Jr. † | BAL | 76.4 | 0.0 | 220.9 | 17% |
| 114 | D.J. Montgomery † | IND | 8.6 | 0.0 | 155.1 | 30% |
| 115 | Mike Strachan † | CAR | 10.2 | 0.0 | 156.7 | 34% |
| 116 | KhaDarel Hodge † | ATL | 36.5 | 0.0 | 183.0 | 20% |
| 117 | Irvin Charles † | NYJ | 0.2 | 0.0 | 146.7 | 32% |
| 118 | Chris Moore † | ARI | 47.4 | 0.0 | 184.0 | 18% |
| 119 | Laquon Treadwell † | BAL | 0.2 | 0.0 | 146.7 | 24% |
-
DET232.4 median
- Floor (P10)
- 122.0
- Ceiling (P90)
- 339.7
- Chance he plays
- 96%
-
2. CeeDee LambDAL228.5 median
- Floor (P10)
- 109.0
- Ceiling (P90)
- 348.1
- Chance he plays
- 95%
-
3. Chris OlaveNO210.7 median
- Floor (P10)
- 96.8
- Ceiling (P90)
- 336.9
- Chance he plays
- 97%
-
MIN204.0 median
- Floor (P10)
- 83.6
- Ceiling (P90)
- 325.2
- Chance he plays
- 96%
-
PHI197.2 median
- Floor (P10)
- 81.7
- Ceiling (P90)
- 318.2
- Chance he plays
- 94%
-
6. Rashee RiceKC187.6 median
- Floor (P10)
- 85.4
- Ceiling (P90)
- 298.4
- Chance he plays
- 97%
-
CIN186.9 median
- Floor (P10)
- 70.5
- Ceiling (P90)
- 308.1
- Chance he plays
- 97%
-
MIA190.7 median
- Floor (P10)
- 85.4
- Ceiling (P90)
- 311.9
- Chance he plays
- 95%
-
9. A.J. BrownPHI191.4 median
- Floor (P10)
- 83.7
- Ceiling (P90)
- 301.9
- Chance he plays
- 92%
-
10. D.J. MooreCHI193.4 median
- Floor (P10)
- 79.5
- Ceiling (P90)
- 308.6
- Chance he plays
- 91%
-
11. Nico CollinsHOU179.0 median
- Floor (P10)
- 59.1
- Ceiling (P90)
- 306.1
- Chance he plays
- 95%
-
12. Drake LondonATL169.0 median
- Floor (P10)
- 54.3
- Ceiling (P90)
- 290.7
- Chance he plays
- 98%
-
13. Garrett WilsonNYJ167.5 median
- Floor (P10)
- 53.7
- Ceiling (P90)
- 290.9
- Chance he plays
- 97%
-
14. Puka NacuaLAR161.5 median
- Floor (P10)
- 56.7
- Ceiling (P90)
- 269.1
- Chance he plays
- 98%
-
15. D.K. MetcalfSEA171.4 median
- Floor (P10)
- 54.6
- Ceiling (P90)
- 291.9
- Chance he plays
- 93%
-
16. Zay FlowersBAL152.2 median
- Floor (P10)
- 47.6
- Ceiling (P90)
- 264.6
- Chance he plays
- 98%
-
17. Cooper KuppLAR171.0 median
- Floor (P10)
- 81.3
- Ceiling (P90)
- 262.7
- Chance he plays
- 87%
-
18. Jayden ReedGB144.8 median
- Floor (P10)
- 40.8
- Ceiling (P90)
- 255.3
- Chance he plays
- 97%
-
19. Brandon AiyukSF146.7 median
- Floor (P10)
- 38.1
- Ceiling (P90)
- 265.2
- Chance he plays
- 93%
-
20. Davante AdamsLV161.5 median
- Floor (P10)
- 57.5
- Ceiling (P90)
- 258.0
- Chance he plays
- 86%
-
21. Chris GodwinTB152.4 median
- Floor (P10)
- 54.6
- Ceiling (P90)
- 247.8
- Chance he plays
- 90%
-
22. Terry McLaurinWAS148.0 median
- Floor (P10)
- 46.1
- Ceiling (P90)
- 262.8
- Chance he plays
- 89%
-
IND140.4 median
- Floor (P10)
- 38.7
- Ceiling (P90)
- 251.7
- Chance he plays
- 92%
-
24. Jerry JeudyCLE137.3 median
- Floor (P10)
- 22.2
- Ceiling (P90)
- 253.7
- Chance he plays
- 95%
-
25. Jordan AddisonMIN129.0 median
- Floor (P10)
- 30.9
- Ceiling (P90)
- 232.2
- Chance he plays
- 99%
-
26. George PickensPIT125.8 median
- Floor (P10)
- 23.8
- Ceiling (P90)
- 240.3
- Chance he plays
- 98%
-
27. Tank DellHOU117.1 median
- Floor (P10)
- 16.4
- Ceiling (P90)
- 241.2
- Chance he plays
- 96%
-
28. Deebo SamuelSF125.4 median
- Floor (P10)
- 33.3
- Ceiling (P90)
- 227.9
- Chance he plays
- 89%
-
29. Rashid ShaheedNO116.3 median
- Floor (P10)
- 15.6
- Ceiling (P90)
- 234.3
- Chance he plays
- 94%
-
30. Jakobi MeyersLV121.2 median
- Floor (P10)
- 26.0
- Ceiling (P90)
- 215.1
- Chance he plays
- 91%
-
31. Josh DownsIND108.9 median
- Floor (P10)
- 25.7
- Ceiling (P90)
- 207.1
- Chance he plays
- 99%
-
32. Stefon DiggsHOU125.2 median
- Floor (P10)
- 33.5
- Ceiling (P90)
- 224.8
- Chance he plays
- 87%
-
33. Calvin RidleyTEN111.0 median
- Floor (P10)
- 17.1
- Ceiling (P90)
- 216.3
- Chance he plays
- 88%
-
34. Christian KirkJAX103.0 median
- Floor (P10)
- 16.3
- Ceiling (P90)
- 221.0
- Chance he plays
- 91%
-
35. Gabriel DavisJAX99.6 median
- Floor (P10)
- 19.0
- Ceiling (P90)
- 208.7
- Chance he plays
- 95%
-
SEA138.0 median
- Floor (P10)
- 37.2
- Ceiling (P90)
- 281.5
- Chance he plays
- 64%
-
37. Mike EvansTB102.6 median
- Floor (P10)
- 19.5
- Ceiling (P90)
- 202.2
- Chance he plays
- 87%
-
38. Romeo DoubsGB151.8 median
- Floor (P10)
- 51.0
- Ceiling (P90)
- 295.3
- Chance he plays
- 54%
-
39. Courtland SuttonDEN80.3 median
- Floor (P10)
- 6.8
- Ceiling (P90)
- 185.1
- Chance he plays
- 89%
-
NYG113.9 median
- Floor (P10)
- 13.0
- Ceiling (P90)
- 257.3
- Chance he plays
- 58%
-
41. Tee HigginsCIN147.4 median
- Floor (P10)
- 41.5
- Ceiling (P90)
- 298.1
- Chance he plays
- 48%
-
42. Dontayvion WicksGB102.2 median
- Floor (P10)
- 1.4
- Ceiling (P90)
- 246.7
- Chance he plays
- 61%
-
43. Elijah MooreCLE110.3 median
- Floor (P10)
- 9.4
- Ceiling (P90)
- 254.8
- Chance he plays
- 54%
-
44. Keenan AllenCHI67.7 median
- Floor (P10)
- 7.1
- Ceiling (P90)
- 158.0
- Chance he plays
- 86%
-
45. Jahan DotsonPHI102.6 median
- Floor (P10)
- 1.7
- Ceiling (P90)
- 246.1
- Chance he plays
- 54%
-
46. Joshua PalmerLAC106.9 median
- Floor (P10)
- 1.0
- Ceiling (P90)
- 258.6
- Chance he plays
- 51%
-
47. DeMario DouglasNE88.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 232.9
- Chance he plays
- 58%
-
48. Jalin HyattNYG76.4 median
- Floor (P10)
- 5.4
- Ceiling (P90)
- 213.0
- Chance he plays
- 62%
-
49. Michael WilsonARI90.5 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 234.1
- Chance he plays
- 54%
-
50. Trey PalmerTB79.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 223.5
- Chance he plays
- 60%
-
51. Quentin JohnstonLAC79.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 222.5
- Chance he plays
- 62%
-
52. Khalil ShakirBUF90.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 233.7
- Chance he plays
- 53%
-
53. Jonathan MingoCAR67.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 210.6
- Chance he plays
- 60%
-
54. Xavier GipsonNYJ67.5 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 204.1
- Chance he plays
- 59%
-
55. Rashod BatemanBAL81.3 median
- Floor (P10)
- 10.2
- Ceiling (P90)
- 217.9
- Chance he plays
- 52%
-
56. Jameson WilliamsDET62.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 206.3
- Chance he plays
- 60%
-
JAX59.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 195.9
- Chance he plays
- 64%
-
58. Alec PierceIND72.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 216.0
- Chance he plays
- 55%
-
59. Tutu AtwellLAR84.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 227.5
- Chance he plays
- 52%
-
60. Marvin MimsDEN55.2 median
- Floor (P10)
- -1.0
- Ceiling (P90)
- 199.7
- Chance he plays
- 64%
-
61. Skyy MooreKC63.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 200.2
- Chance he plays
- 56%
-
62. Kayshon BoutteNE44.9 median
- Floor (P10)
- 6.0
- Ceiling (P90)
- 191.3
- Chance he plays
- 65%
-
63. Tre TuckerLV54.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 198.4
- Chance he plays
- 59%
-
64. Christian WatsonGB76.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 220.2
- Chance he plays
- 50%
-
65. Andrei IosivasCIN54.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 191.2
- Chance he plays
- 52%
-
HOU48.1 median
- Floor (P10)
- 9.2
- Ceiling (P90)
- 194.5
- Chance he plays
- 55%
-
67. Jalen TolbertDAL65.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 202.5
- Chance he plays
- 49%
-
68. Cedric TillmanCLE51.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 188.0
- Chance he plays
- 54%
-
69. K.J. OsbornNE73.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 216.8
- Chance he plays
- 41%
-
70. Darnell MooneyATL69.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 205.9
- Chance he plays
- 43%
-
71. Derius DavisLAC39.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 176.2
- Chance he plays
- 56%
-
PIT58.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 194.6
- Chance he plays
- 49%
-
73. Treylon BurksTEN47.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 184.3
- Chance he plays
- 54%
-
74. John MetchieHOU41.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 178.4
- Chance he plays
- 56%
-
75. Tyquan ThorntonNE38.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 175.3
- Chance he plays
- 56%
-
76. Dyami BrownWAS38.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 175.1
- Chance he plays
- 52%
-
77. Jake BoboSEA56.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 192.9
- Chance he plays
- 46%
-
78. Malik HeathGB40.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 177.0
- Chance he plays
- 54%
-
79. Jalen BrooksDAL38.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 185.1
- Chance he plays
- 55%
-
80. Greg DortchARI62.5 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 199.1
- Chance he plays
- 45%
-
81. Ronnie BellSF37.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 174.1
- Chance he plays
- 53%
-
KC86.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 230.1
- Chance he plays
- 33%
-
DEN70.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 207.4
- Chance he plays
- 38%
-
NE46.8 median
- Floor (P10)
- 7.9
- Ceiling (P90)
- 193.3
- Chance he plays
- 41%
-
TB39.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 176.3
- Chance he plays
- 48%
-
86. Scotty MillerPIT43.6 median
- Floor (P10)
- 4.6
- Ceiling (P90)
- 190.1
- Chance he plays
- 42%
-
87. Jalen NailorMIN30.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 176.5
- Chance he plays
- 49%
-
WAS42.9 median
- Floor (P10)
- 4.0
- Ceiling (P90)
- 189.4
- Chance he plays
- 42%
-
89. Charlie JonesCIN35.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 182.4
- Chance he plays
- 47%
-
90. Kalif RaymondDET77.0 median
- Floor (P10)
- 6.0
- Ceiling (P90)
- 213.6
- Chance he plays
- 30%
-
DEN43.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 180.2
- Chance he plays
- 45%
-
92. KaVontae TurpinDAL45.2 median
- Floor (P10)
- 6.3
- Ceiling (P90)
- 191.6
- Chance he plays
- 38%
-
LAR67.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 203.8
- Chance he plays
- 31%
-
94. Tyler JohnsonLAR28.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 174.8
- Chance he plays
- 46%
-
TEN59.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 195.6
- Chance he plays
- 32%
-
96. Jauan JenningsSF36.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 172.9
- Chance he plays
- 41%
-
JAX37.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 183.6
- Chance he plays
- 37%
-
NE72.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 224.3
- Chance he plays
- 25%
-
99. Van JeffersonPIT30.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 177.4
- Chance he plays
- 38%
-
BAL26.5 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 172.9
- Chance he plays
- 43%
-
101. D'Wayne EskridgeMIA17.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 164.4
- Chance he plays
- 40%
-
102. Simi FehokoLAC19.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 166.1
- Chance he plays
- 43%
-
103. Braxton BerriosMIA31.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 168.3
- Chance he plays
- 34%
-
PIT25.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 171.8
- Chance he plays
- 33%
-
LAR25.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 171.9
- Chance he plays
- 38%
-
BUF36.2 median
- Floor (P10)
- -1.8
- Ceiling (P90)
- 172.8
- Chance he plays
- 31%
-
107. Devin DuvernayJAX11.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 158.4
- Chance he plays
- 42%
-
108. Mack HollinsBUF41.5 median
- Floor (P10)
- 2.6
- Ceiling (P90)
- 187.9
- Chance he plays
- 27%
-
109. Britain CoveyPHI5.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 151.8
- Chance he plays
- 40%
-
110. Sterling ShepardTB37.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 184.2
- Chance he plays
- 25%
-
111. Trent SherfieldMIN13.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 159.5
- Chance he plays
- 36%
-
112. David MooreCAR22.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 169.1
- Chance he plays
- 32%
-
BAL76.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 220.9
- Chance he plays
- 17%
-
IND8.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 155.1
- Chance he plays
- 30%
-
CAR10.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 156.7
- Chance he plays
- 34%
-
ATL36.5 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 183.0
- Chance he plays
- 20%
-
NYJ0.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 146.7
- Chance he plays
- 32%
-
ARI47.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 184.0
- Chance he plays
- 18%
-
BAL0.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 146.7
- Chance he plays
- 24%
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.
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. During the season, his figures for the seasons he will play past 30 are also lowered, by as much as we have measured full-time receivers that age fall short of their projections.
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, reaches down to the seasons where a player's whole workload fell away, 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.
17 players here are projected from the 2023 season, marked † below: no game in 2024. The number comes from the model that looks 3 seasons ahead of a 2023 season, to reach the 2026 season. From a 2023 season we publish through 2026 and no further.
Only 38 of the 119 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 — 78% of real seasons landed inside the 80% range and 91% inside the 90% range, measured on 194 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 119 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 941 past player-seasons. Ours was off by 13.7 rushing yards a season and the baseline by 10.5, 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 2026 season rather than for one game.
- Median
- — The middle of our projected fantasy points for the 2026 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 2026 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 61 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.
1 player is listed below without a rank: at least half of each one's projected outcomes are zero points, so the middle of his projection is 0.0 and a rank would order nothing.
- Gunner Olszewski NYG