Players — 2024 Week 5
Scoring: Full PPR · 6-pt pass TD
RB 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 | Breece Hall | NYJ | 236.3 | 75.1 | 426.3 | 98% |
| 2 | Jahmyr Gibbs | DET | 218.2 | 70.7 | 390.9 | 99% |
| 3 | De'Von Achane | MIA | 203.2 | 58.1 | 369.0 | 98% |
| 4 | Bijan Robinson | ATL | 179.7 | 48.3 | 359.0 | 99% |
| 5 | Christian McCaffrey † | SF | 210.0 | 60.1 | 337.2 | 92% |
| 6 | Travis Etienne | JAX | 183.6 | 58.6 | 341.6 | 97% |
| 7 | Josh Jacobs | GB | 173.1 | 47.1 | 322.0 | 96% |
| 8 | Saquon Barkley | PHI | 162.1 | 49.6 | 315.7 | 95% |
| 9 | Kyren Williams | LAR | 153.7 | 38.9 | 306.9 | 98% |
| 10 | Rachaad White | TB | 155.7 | 45.2 | 294.9 | 97% |
| 11 | Kenneth Walker III | SEA | 153.6 | 37.6 | 312.6 | 98% |
| 12 | Chuba Hubbard | CAR | 152.7 | 39.6 | 305.3 | 97% |
| 13 | Derrick Henry | BAL | 176.7 | 54.9 | 311.6 | 88% |
| 14 | James Cook | BUF | 147.1 | 43.6 | 300.4 | 97% |
| 15 | Isiah Pacheco | KC | 146.9 | 33.6 | 290.6 | 97% |
| 16 | Najee Harris | PIT | 147.1 | 36.3 | 292.4 | 96% |
| 17 | D'Andre Swift | CHI | 144.4 | 43.7 | 274.4 | 97% |
| 18 | Devin Singletary | NYG | 146.4 | 40.6 | 283.3 | 95% |
| 19 | David Montgomery | DET | 129.8 | 33.3 | 269.3 | 95% |
| 20 | Jerome Ford | CLE | 117.8 | 26.7 | 252.4 | 97% |
| 21 | Tony Pollard | TEN | 121.7 | 29.8 | 255.8 | 95% |
| 22 | Brian Robinson Jr. | WAS | 155.6 | 51.4 | 303.2 | 74% |
| 23 | Alvin Kamara | NO | 154.2 | 50.5 | 300.0 | 74% |
| 24 | Jaylen Warren | PIT | 151.3 | 47.1 | 298.9 | 74% |
| 25 | James Conner | ARI | 120.8 | 26.3 | 257.9 | 91% |
| 26 | Rhamondre Stevenson | NE | 141.9 | 32.7 | 295.6 | 74% |
| 27 | Javonte Williams | DEN | 140.2 | 36.3 | 286.7 | 74% |
| 28 | Tyjae Spears | TEN | 125.4 | 21.7 | 271.2 | 74% |
| 29 | Aaron Jones | MIN | 114.8 | 5.1 | 269.2 | 74% |
| 30 | Jonathan Taylor | IND | 106.0 | 0.0 | 260.1 | 74% |
| 31 | Tyler Allgeier | ATL | 100.4 | 0.0 | 246.2 | 74% |
| 32 | Dameon Pierce | HOU | 78.4 | 25.4 | 218.0 | 74% |
| 33 | Zach Charbonnet | SEA | 75.3 | 0.0 | 221.0 | 74% |
| 34 | Jaleel McLaughlin | DEN | 73.6 | 0.0 | 219.3 | 74% |
| 35 | Roschon Johnson | CHI | 72.1 | 0.0 | 217.3 | 74% |
| 36 | Zamir White | LV | 71.7 | 18.4 | 211.0 | 74% |
| 37 | Emari Demercado | ARI | 67.4 | 14.4 | 207.0 | 74% |
| 38 | Tank Bigsby | JAX | 64.9 | 11.6 | 204.2 | 74% |
| 39 | Khalil Herbert | CHI | 62.1 | 0.0 | 208.3 | 74% |
| 40 | Justice Hill | BAL | 56.7 | 0.0 | 202.5 | 74% |
| 41 | Ty Chandler | MIN | 52.9 | 0.0 | 198.7 | 74% |
| 42 | Kenneth Gainwell | PHI | 54.2 | 0.0 | 199.8 | 74% |
| 43 | Chase Brown | CIN | 56.0 | 2.8 | 195.3 | 74% |
| 44 | Samaje Perine | KC | 48.9 | 0.0 | 196.1 | 74% |
| 45 | Kendre Miller † | NO | 72.6 | 19.7 | 212.2 | 59% |
| 46 | AJ Dillon † | GB | 69.8 | 0.0 | 215.6 | 59% |
| 47 | Rico Dowdle | DAL | 44.8 | 0.0 | 189.6 | 74% |
| 48 | Jordan Mason | SF | 43.3 | 0.0 | 182.9 | 74% |
| 49 | Keaton Mitchell † | BAL | 57.2 | 0.0 | 202.9 | 59% |
| 50 | Michael Carter † | ARI | 58.6 | 5.4 | 197.9 | 59% |
| 51 | Pierre Strong | CLE | 37.2 | 0.0 | 176.4 | 74% |
| 52 | Kyle Juszczyk | SF | 31.9 | 0.0 | 171.1 | 74% |
| 53 | Sean Tucker | TB | 27.8 | 0.0 | 167.2 | 74% |
| 54 | Trey Sermon | IND | 30.6 | 7.5 | 120.6 | 74% |
| 55 | Ameer Abdullah | LV | 31.7 | 8.5 | 121.6 | 74% |
| 56 | Tyler Goodson | IND | 25.1 | 0.0 | 164.4 | 74% |
| 57 | Chris Rodriguez † | WAS | 35.6 | 0.0 | 174.9 | 59% |
| 58 | Ronnie Rivers | LAR | 30.4 | 7.3 | 120.4 | 74% |
| 59 | Ty Johnson | BUF | 18.7 | 0.0 | 158.0 | 74% |
| 60 | Salvon Ahmed † | MIA | 37.0 | 0.0 | 176.3 | 59% |
| 61 | Alec Ingold | MIA | 18.3 | 0.0 | 157.5 | 74% |
| 62 | Emanuel Wilson | GB | 29.4 | 6.3 | 119.4 | 74% |
| 63 | Eric Gray | NYG | 26.5 | 3.4 | 116.5 | 74% |
| 64 | Chris Brooks | GB | 26.3 | 3.2 | 116.3 | 74% |
| 65 | Patrick Ricard | BAL | 24.3 | 1.1 | 114.2 | 74% |
| 66 | J.K. Dobbins | LAC | 20.2 | 0.0 | 110.2 | 74% |
| 67 | Hunter Luepke | DAL | 20.7 | 0.0 | 110.7 | 74% |
| 68 | Zonovan Knight † | DET | 26.9 | 3.8 | 116.8 | 59% |
| 69 | Andrew Beck † | HOU | 22.9 | 0.0 | 112.8 | 59% |
| 70 | Michael Burton | DEN | 12.8 | 0.0 | 102.7 | 74% |
| 71 | Craig Reynolds † | DET | 20.0 | 0.0 | 109.9 | 59% |
| 72 | Adam Prentice | NO | 10.5 | -1.7 | 100.4 | 74% |
| 73 | Travis Homer | CHI | 8.9 | 0.0 | 98.8 | 74% |
| 74 | DeeJay Dallas † | ARI | 16.3 | -0.1 | 106.2 | 59% |
| 75 | Velus Jones Jr. | CHI | 8.5 | 0.0 | 98.4 | 74% |
| 76 | Dare Ogunbowale | HOU | 2.3 | 0.0 | 92.2 | 74% |
| 77 | Kene Nwangwu † | MIN | 5.2 | 0.0 | 95.1 | 59% |
| 78 | Reggie Gilliam † | BUF | 2.9 | -0.1 | 92.8 | 59% |
| 79 | Jonathan Ward † | TEN | 3.6 | 0.0 | 93.5 | 59% |
-
1. Breece HallNYJ236.3 median
- Floor (P10)
- 75.1
- Ceiling (P90)
- 426.3
- Chance he plays
- 98%
-
2. Jahmyr GibbsDET218.2 median
- Floor (P10)
- 70.7
- Ceiling (P90)
- 390.9
- Chance he plays
- 99%
-
MIA203.2 median
- Floor (P10)
- 58.1
- Ceiling (P90)
- 369.0
- Chance he plays
- 98%
-
ATL179.7 median
- Floor (P10)
- 48.3
- Ceiling (P90)
- 359.0
- Chance he plays
- 99%
-
SF210.0 median
- Floor (P10)
- 60.1
- Ceiling (P90)
- 337.2
- Chance he plays
- 92%
-
JAX183.6 median
- Floor (P10)
- 58.6
- Ceiling (P90)
- 341.6
- Chance he plays
- 97%
-
7. Josh JacobsGB173.1 median
- Floor (P10)
- 47.1
- Ceiling (P90)
- 322.0
- Chance he plays
- 96%
-
PHI162.1 median
- Floor (P10)
- 49.6
- Ceiling (P90)
- 315.7
- Chance he plays
- 95%
-
LAR153.7 median
- Floor (P10)
- 38.9
- Ceiling (P90)
- 306.9
- Chance he plays
- 98%
-
10. Rachaad WhiteTB155.7 median
- Floor (P10)
- 45.2
- Ceiling (P90)
- 294.9
- Chance he plays
- 97%
-
SEA153.6 median
- Floor (P10)
- 37.6
- Ceiling (P90)
- 312.6
- Chance he plays
- 98%
-
12. Chuba HubbardCAR152.7 median
- Floor (P10)
- 39.6
- Ceiling (P90)
- 305.3
- Chance he plays
- 97%
-
13. Derrick HenryBAL176.7 median
- Floor (P10)
- 54.9
- Ceiling (P90)
- 311.6
- Chance he plays
- 88%
-
14. James CookBUF147.1 median
- Floor (P10)
- 43.6
- Ceiling (P90)
- 300.4
- Chance he plays
- 97%
-
15. Isiah PachecoKC146.9 median
- Floor (P10)
- 33.6
- Ceiling (P90)
- 290.6
- Chance he plays
- 97%
-
16. Najee HarrisPIT147.1 median
- Floor (P10)
- 36.3
- Ceiling (P90)
- 292.4
- Chance he plays
- 96%
-
17. D'Andre SwiftCHI144.4 median
- Floor (P10)
- 43.7
- Ceiling (P90)
- 274.4
- Chance he plays
- 97%
-
18. Devin SingletaryNYG146.4 median
- Floor (P10)
- 40.6
- Ceiling (P90)
- 283.3
- Chance he plays
- 95%
-
19. David MontgomeryDET129.8 median
- Floor (P10)
- 33.3
- Ceiling (P90)
- 269.3
- Chance he plays
- 95%
-
20. Jerome FordCLE117.8 median
- Floor (P10)
- 26.7
- Ceiling (P90)
- 252.4
- Chance he plays
- 97%
-
21. Tony PollardTEN121.7 median
- Floor (P10)
- 29.8
- Ceiling (P90)
- 255.8
- Chance he plays
- 95%
-
WAS155.6 median
- Floor (P10)
- 51.4
- Ceiling (P90)
- 303.2
- Chance he plays
- 74%
-
23. Alvin KamaraNO154.2 median
- Floor (P10)
- 50.5
- Ceiling (P90)
- 300.0
- Chance he plays
- 74%
-
24. Jaylen WarrenPIT151.3 median
- Floor (P10)
- 47.1
- Ceiling (P90)
- 298.9
- Chance he plays
- 74%
-
25. James ConnerARI120.8 median
- Floor (P10)
- 26.3
- Ceiling (P90)
- 257.9
- Chance he plays
- 91%
-
NE141.9 median
- Floor (P10)
- 32.7
- Ceiling (P90)
- 295.6
- Chance he plays
- 74%
-
27. Javonte WilliamsDEN140.2 median
- Floor (P10)
- 36.3
- Ceiling (P90)
- 286.7
- Chance he plays
- 74%
-
28. Tyjae SpearsTEN125.4 median
- Floor (P10)
- 21.7
- Ceiling (P90)
- 271.2
- Chance he plays
- 74%
-
29. Aaron JonesMIN114.8 median
- Floor (P10)
- 5.1
- Ceiling (P90)
- 269.2
- Chance he plays
- 74%
-
30. Jonathan TaylorIND106.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 260.1
- Chance he plays
- 74%
-
31. Tyler AllgeierATL100.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 246.2
- Chance he plays
- 74%
-
32. Dameon PierceHOU78.4 median
- Floor (P10)
- 25.4
- Ceiling (P90)
- 218.0
- Chance he plays
- 74%
-
33. Zach CharbonnetSEA75.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 221.0
- Chance he plays
- 74%
-
DEN73.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 219.3
- Chance he plays
- 74%
-
35. Roschon JohnsonCHI72.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 217.3
- Chance he plays
- 74%
-
36. Zamir WhiteLV71.7 median
- Floor (P10)
- 18.4
- Ceiling (P90)
- 211.0
- Chance he plays
- 74%
-
37. Emari DemercadoARI67.4 median
- Floor (P10)
- 14.4
- Ceiling (P90)
- 207.0
- Chance he plays
- 74%
-
38. Tank BigsbyJAX64.9 median
- Floor (P10)
- 11.6
- Ceiling (P90)
- 204.2
- Chance he plays
- 74%
-
39. Khalil HerbertCHI62.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 208.3
- Chance he plays
- 74%
-
40. Justice HillBAL56.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 202.5
- Chance he plays
- 74%
-
41. Ty ChandlerMIN52.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 198.7
- Chance he plays
- 74%
-
42. Kenneth GainwellPHI54.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 199.8
- Chance he plays
- 74%
-
43. Chase BrownCIN56.0 median
- Floor (P10)
- 2.8
- Ceiling (P90)
- 195.3
- Chance he plays
- 74%
-
44. Samaje PerineKC48.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 196.1
- Chance he plays
- 74%
-
NO72.6 median
- Floor (P10)
- 19.7
- Ceiling (P90)
- 212.2
- Chance he plays
- 59%
-
GB69.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 215.6
- Chance he plays
- 59%
-
47. Rico DowdleDAL44.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 189.6
- Chance he plays
- 74%
-
48. Jordan MasonSF43.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 182.9
- Chance he plays
- 74%
-
BAL57.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 202.9
- Chance he plays
- 59%
-
ARI58.6 median
- Floor (P10)
- 5.4
- Ceiling (P90)
- 197.9
- Chance he plays
- 59%
-
51. Pierre StrongCLE37.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 176.4
- Chance he plays
- 74%
-
52. Kyle JuszczykSF31.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 171.1
- Chance he plays
- 74%
-
53. Sean TuckerTB27.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 167.2
- Chance he plays
- 74%
-
54. Trey SermonIND30.6 median
- Floor (P10)
- 7.5
- Ceiling (P90)
- 120.6
- Chance he plays
- 74%
-
55. Ameer AbdullahLV31.7 median
- Floor (P10)
- 8.5
- Ceiling (P90)
- 121.6
- Chance he plays
- 74%
-
56. Tyler GoodsonIND25.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 164.4
- Chance he plays
- 74%
-
WAS35.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 174.9
- Chance he plays
- 59%
-
58. Ronnie RiversLAR30.4 median
- Floor (P10)
- 7.3
- Ceiling (P90)
- 120.4
- Chance he plays
- 74%
-
59. Ty JohnsonBUF18.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 158.0
- Chance he plays
- 74%
-
MIA37.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 176.3
- Chance he plays
- 59%
-
61. Alec IngoldMIA18.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 157.5
- Chance he plays
- 74%
-
62. Emanuel WilsonGB29.4 median
- Floor (P10)
- 6.3
- Ceiling (P90)
- 119.4
- Chance he plays
- 74%
-
63. Eric GrayNYG26.5 median
- Floor (P10)
- 3.4
- Ceiling (P90)
- 116.5
- Chance he plays
- 74%
-
64. Chris BrooksGB26.3 median
- Floor (P10)
- 3.2
- Ceiling (P90)
- 116.3
- Chance he plays
- 74%
-
65. Patrick RicardBAL24.3 median
- Floor (P10)
- 1.1
- Ceiling (P90)
- 114.2
- Chance he plays
- 74%
-
66. J.K. DobbinsLAC20.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 110.2
- Chance he plays
- 74%
-
67. Hunter LuepkeDAL20.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 110.7
- Chance he plays
- 74%
-
DET26.9 median
- Floor (P10)
- 3.8
- Ceiling (P90)
- 116.8
- Chance he plays
- 59%
-
HOU22.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 112.8
- Chance he plays
- 59%
-
70. Michael BurtonDEN12.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 102.7
- Chance he plays
- 74%
-
DET20.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 109.9
- Chance he plays
- 59%
-
72. Adam PrenticeNO10.5 median
- Floor (P10)
- -1.7
- Ceiling (P90)
- 100.4
- Chance he plays
- 74%
-
73. Travis HomerCHI8.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 98.8
- Chance he plays
- 74%
-
ARI16.3 median
- Floor (P10)
- -0.1
- Ceiling (P90)
- 106.2
- Chance he plays
- 59%
-
75. Velus Jones Jr.CHI8.5 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 98.4
- Chance he plays
- 74%
-
76. Dare OgunbowaleHOU2.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 92.2
- Chance he plays
- 74%
-
MIN5.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 95.1
- Chance he plays
- 59%
-
BUF2.9 median
- Floor (P10)
- -0.1
- Ceiling (P90)
- 92.8
- Chance he plays
- 59%
-
TEN3.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 93.5
- Chance he plays
- 59%
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 RB 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. His rushing touchdowns, catches and receiving yards were each moved up and widened by as much as we measured full-time starters' seasons have actually landed above our projections for them, and outside their ranges. The range around them moves every stat he is scored on together, the way full-time starters' seasons actually move, and allows for the games he may miss at the rate full-time starters at his position have missed them; the chance he plays at all is the historical rate for players who carried his workload at his age. During the season, his figures are also adjusted for his age, by as much as we have measured full-time starters at his position decline, or improve, with age from one season to the next.
Early read: these figures are projected for him individually. His rushing touchdowns, catches and receiving yards were each moved up and widened by as much as we measured full-time starters' seasons have actually landed above our projections for them, and outside their ranges. The range around them moves every stat he is scored on together, the way full-time starters' seasons actually move, and allows for the games he may miss at the rate full-time starters at his position have missed them; the chance he plays at all is the historical rate for players who carried his workload.
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.
14 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 22 of the 79 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 — 81% of real seasons landed inside the 80% range and 90% inside the 90% range, measured on 124 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.
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 32 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.