Players
2024 Week 5 · Archive

Players — 2024 Week 5

Scoring: Full PPR · 6-pt pass TD

RB fantasy football rankings for the 2026 season, ordered by the expected total (the projection counted against the “Chance he plays” figure).

Archived example week — 2024 Week 5. These are not current projections. Many of these players are still active, so don't use these numbers to set a lineup. Subscribers get the live week. See plans →

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 Jahmyr Gibbs DET 190.9 56.7 337.7 95%
2 Breece Hall NYJ 187.2 49.8 319.3 94%
3 De'Von Achane MIA 181.3 52.9 318.7 95%
4 Kyren Williams LAR 155.0 44.6 281.5 93%
5 Bijan Robinson ATL 146.6 29.4 271.0 95%
6 Travis Etienne JAX 145.6 41.7 253.5 90%
7 Josh Jacobs GB 148.0 38.9 255.0 87%
8 Chuba Hubbard CAR 137.5 34.4 250.7 90%
9 Isiah Pacheco KC 135.5 34.1 240.0 90%
10 Saquon Barkley PHI 146.6 43.0 255.6 83%
11 D'Andre Swift CHI 127.9 34.4 238.2 89%
12 Kenneth Walker III SEA 119.4 29.4 234.5 93%
13 James Cook BUF 115.5 22.8 224.0 91%
14 Najee Harris PIT 112.7 29.5 221.6 87%
15 Devin Singletary NYG 109.1 26.0 209.0 85%
16 Alvin Kamara NO 151.6 53.3 299.4 59%
17 Brian Robinson Jr. WAS 143.7 45.7 292.6 59%
18 Jaylen Warren PIT 139.0 40.9 287.8 59%
19 Derrick Henry BAL 135.0 39.6 220.9 68%
20 Rachaad White TB 91.0 21.1 193.0 89%
21 Javonte Williams DEN 136.5 39.0 285.9 59%
22 Rhamondre Stevenson NE 128.0 25.1 284.4 59%
23 Jerome Ford CLE 85.8 14.5 180.4 91%
24 Tyjae Spears TEN 118.1 22.3 266.6 59%
25 James Conner ARI 102.9 25.6 187.7 75%
26 Aaron Jones MIN 107.9 4.0 261.5 59%
27 David Montgomery DET 75.2 15.3 164.9 85%
28 Jonathan Taylor IND 98.8 0.0 251.2 59%
29 Tyler Allgeier ATL 98.5 1.8 244.0 59%
30 Zach Charbonnet SEA 81.8 0.0 220.8 59%
31 Jaleel McLaughlin DEN 79.3 0.0 219.8 59%
32 Roschon Johnson CHI 79.2 0.0 227.7 59%
33 Tony Pollard TEN 61.8 9.2 145.2 84%
34 Khalil Herbert CHI 75.7 0.0 245.7 59%
35 Samaje Perine KC 70.5 0.0 242.6 59%
36 Ty Chandler MIN 69.9 0.0 240.8 59%
37 Justice Hill BAL 71.3 0.0 242.8 59%
38 Kenneth Gainwell PHI 69.8 0.0 240.3 59%
39 Dameon Pierce HOU 65.3 0.0 238.3 59%
40 Rico Dowdle DAL 55.5 0.0 228.5 59%
41 Zamir White LV 53.0 0.0 222.0 59%
42 Emari Demercado ARI 46.8 0.0 217.0 59%
43 AJ Dillon † GB 78.6 0.0 229.7 47%
44 Chase Brown CIN 42.3 0.0 214.3 59%
45 Keaton Mitchell † BAL 60.8 0.0 234.3 47%
46 Jordan Mason SF 34.8 0.0 190.9 59%
47 Kyle Juszczyk SF 31.8 0.0 164.6 59%
48 Ameer Abdullah LV 31.4 0.0 175.7 59%
49 Pierre Strong CLE 30.3 0.0 164.9 59%
50 Tyler Goodson IND 29.9 0.0 162.2 59%
51 Michael Carter † ARI 44.4 0.0 211.2 47%
52 Kendre Miller † NO 34.3 0.0 191.1 47%
53 Chris Rodriguez † WAS 35.6 0.0 182.5 47%
54 Tank Bigsby JAX 27.8 0.0 157.4 59%
55 Alec Ingold MIA 26.8 0.0 151.0 59%
56 Chris Brooks GB 25.5 0.0 146.6 59%
57 Sean Tucker TB 26.5 0.0 150.6 59%
58 Trey Sermon IND 24.2 0.0 143.4 59%
59 Ty Johnson BUF 25.8 0.0 145.7 59%
60 Ronnie Rivers LAR 24.8 0.0 145.1 59%
61 Eric Gray NYG 24.1 0.0 143.9 59%
62 Emanuel Wilson GB 25.3 0.0 149.0 59%
63 Hunter Luepke DAL 24.4 0.0 136.2 59%
64 Patrick Ricard BAL 24.4 0.0 140.4 59%
65 Salvon Ahmed † MIA 30.4 0.0 174.8 47%
66 J.K. Dobbins LAC 18.7 0.0 128.8 59%
67 Zonovan Knight † DET 25.3 0.0 145.7 47%
68 Travis Homer CHI 8.7 0.0 118.8 59%
69 Michael Burton DEN 16.0 0.0 126.1 59%
70 Adam Prentice NO 13.8 -1.9 123.9 59%
71 Velus Jones Jr. CHI 8.7 0.0 118.8 59%
72 Dare Ogunbowale HOU 8.4 0.0 118.5 59%
73 Andrew Beck † HOU 23.2 0.0 133.3 47%
74 Craig Reynolds † DET 20.0 0.0 130.1 47%
75 DeeJay Dallas † ARI 16.1 -2.1 126.2 47%
76 Jonathan Ward † TEN 7.0 0.0 117.1 47%
77 Kene Nwangwu † MIN 6.3 0.0 116.4 47%
78 Reggie Gilliam † BUF 6.3 0.0 116.4 47%
  • DET
    190.9 median
    Floor (P10)
    56.7
    Ceiling (P90)
    337.7
    Chance he plays
    95%
  • NYJ
    187.2 median
    Floor (P10)
    49.8
    Ceiling (P90)
    319.3
    Chance he plays
    94%
  • MIA
    181.3 median
    Floor (P10)
    52.9
    Ceiling (P90)
    318.7
    Chance he plays
    95%
  • 155.0 median
    Floor (P10)
    44.6
    Ceiling (P90)
    281.5
    Chance he plays
    93%
  • 146.6 median
    Floor (P10)
    29.4
    Ceiling (P90)
    271.0
    Chance he plays
    95%
  • 145.6 median
    Floor (P10)
    41.7
    Ceiling (P90)
    253.5
    Chance he plays
    90%
  • GB
    148.0 median
    Floor (P10)
    38.9
    Ceiling (P90)
    255.0
    Chance he plays
    87%
  • CAR
    137.5 median
    Floor (P10)
    34.4
    Ceiling (P90)
    250.7
    Chance he plays
    90%
  • 135.5 median
    Floor (P10)
    34.1
    Ceiling (P90)
    240.0
    Chance he plays
    90%
  • PHI
    146.6 median
    Floor (P10)
    43.0
    Ceiling (P90)
    255.6
    Chance he plays
    83%
  • CHI
    127.9 median
    Floor (P10)
    34.4
    Ceiling (P90)
    238.2
    Chance he plays
    89%
  • 119.4 median
    Floor (P10)
    29.4
    Ceiling (P90)
    234.5
    Chance he plays
    93%
  • BUF
    115.5 median
    Floor (P10)
    22.8
    Ceiling (P90)
    224.0
    Chance he plays
    91%
  • PIT
    112.7 median
    Floor (P10)
    29.5
    Ceiling (P90)
    221.6
    Chance he plays
    87%
  • 109.1 median
    Floor (P10)
    26.0
    Ceiling (P90)
    209.0
    Chance he plays
    85%
  • NO
    151.6 median
    Floor (P10)
    53.3
    Ceiling (P90)
    299.4
    Chance he plays
    59%
  • 143.7 median
    Floor (P10)
    45.7
    Ceiling (P90)
    292.6
    Chance he plays
    59%
  • PIT
    139.0 median
    Floor (P10)
    40.9
    Ceiling (P90)
    287.8
    Chance he plays
    59%
  • BAL
    135.0 median
    Floor (P10)
    39.6
    Ceiling (P90)
    220.9
    Chance he plays
    68%
  • TB
    91.0 median
    Floor (P10)
    21.1
    Ceiling (P90)
    193.0
    Chance he plays
    89%
  • 136.5 median
    Floor (P10)
    39.0
    Ceiling (P90)
    285.9
    Chance he plays
    59%
  • 128.0 median
    Floor (P10)
    25.1
    Ceiling (P90)
    284.4
    Chance he plays
    59%
  • CLE
    85.8 median
    Floor (P10)
    14.5
    Ceiling (P90)
    180.4
    Chance he plays
    91%
  • TEN
    118.1 median
    Floor (P10)
    22.3
    Ceiling (P90)
    266.6
    Chance he plays
    59%
  • ARI
    102.9 median
    Floor (P10)
    25.6
    Ceiling (P90)
    187.7
    Chance he plays
    75%
  • MIN
    107.9 median
    Floor (P10)
    4.0
    Ceiling (P90)
    261.5
    Chance he plays
    59%
  • 75.2 median
    Floor (P10)
    15.3
    Ceiling (P90)
    164.9
    Chance he plays
    85%
  • IND
    98.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    251.2
    Chance he plays
    59%
  • ATL
    98.5 median
    Floor (P10)
    1.8
    Ceiling (P90)
    244.0
    Chance he plays
    59%
  • SEA
    81.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    220.8
    Chance he plays
    59%
  • 79.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    219.8
    Chance he plays
    59%
  • CHI
    79.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    227.7
    Chance he plays
    59%
  • TEN
    61.8 median
    Floor (P10)
    9.2
    Ceiling (P90)
    145.2
    Chance he plays
    84%
  • CHI
    75.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    245.7
    Chance he plays
    59%
  • KC
    70.5 median
    Floor (P10)
    0.0
    Ceiling (P90)
    242.6
    Chance he plays
    59%
  • MIN
    69.9 median
    Floor (P10)
    0.0
    Ceiling (P90)
    240.8
    Chance he plays
    59%
  • BAL
    71.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    242.8
    Chance he plays
    59%
  • 69.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    240.3
    Chance he plays
    59%
  • HOU
    65.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    238.3
    Chance he plays
    59%
  • DAL
    55.5 median
    Floor (P10)
    0.0
    Ceiling (P90)
    228.5
    Chance he plays
    59%
  • LV
    53.0 median
    Floor (P10)
    0.0
    Ceiling (P90)
    222.0
    Chance he plays
    59%
  • ARI
    46.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    217.0
    Chance he plays
    59%
  • 43. AJ Dillon †
    GB
    78.6 median
    Floor (P10)
    0.0
    Ceiling (P90)
    229.7
    Chance he plays
    47%
  • CIN
    42.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    214.3
    Chance he plays
    59%
  • BAL
    60.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    234.3
    Chance he plays
    47%
  • SF
    34.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    190.9
    Chance he plays
    59%
  • SF
    31.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    164.6
    Chance he plays
    59%
  • 31.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    175.7
    Chance he plays
    59%
  • CLE
    30.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    164.9
    Chance he plays
    59%
  • IND
    29.9 median
    Floor (P10)
    0.0
    Ceiling (P90)
    162.2
    Chance he plays
    59%
  • ARI
    44.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    211.2
    Chance he plays
    47%
  • 52. Kendre Miller †
    NO
    34.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    191.1
    Chance he plays
    47%
  • WAS
    35.6 median
    Floor (P10)
    0.0
    Ceiling (P90)
    182.5
    Chance he plays
    47%
  • JAX
    27.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    157.4
    Chance he plays
    59%
  • MIA
    26.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    151.0
    Chance he plays
    59%
  • GB
    25.5 median
    Floor (P10)
    0.0
    Ceiling (P90)
    146.6
    Chance he plays
    59%
  • TB
    26.5 median
    Floor (P10)
    0.0
    Ceiling (P90)
    150.6
    Chance he plays
    59%
  • IND
    24.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    143.4
    Chance he plays
    59%
  • BUF
    25.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    145.7
    Chance he plays
    59%
  • LAR
    24.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    145.1
    Chance he plays
    59%
  • NYG
    24.1 median
    Floor (P10)
    0.0
    Ceiling (P90)
    143.9
    Chance he plays
    59%
  • 25.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    149.0
    Chance he plays
    59%
  • DAL
    24.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    136.2
    Chance he plays
    59%
  • BAL
    24.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    140.4
    Chance he plays
    59%
  • 65. Salvon Ahmed †
    MIA
    30.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    174.8
    Chance he plays
    47%
  • LAC
    18.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    128.8
    Chance he plays
    59%
  • DET
    25.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    145.7
    Chance he plays
    47%
  • CHI
    8.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    118.8
    Chance he plays
    59%
  • DEN
    16.0 median
    Floor (P10)
    0.0
    Ceiling (P90)
    126.1
    Chance he plays
    59%
  • NO
    13.8 median
    Floor (P10)
    -1.9
    Ceiling (P90)
    123.9
    Chance he plays
    59%
  • CHI
    8.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    118.8
    Chance he plays
    59%
  • HOU
    8.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    118.5
    Chance he plays
    59%
  • 73. Andrew Beck †
    HOU
    23.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    133.3
    Chance he plays
    47%
  • DET
    20.0 median
    Floor (P10)
    0.0
    Ceiling (P90)
    130.1
    Chance he plays
    47%
  • 75. DeeJay Dallas †
    ARI
    16.1 median
    Floor (P10)
    -2.1
    Ceiling (P90)
    126.2
    Chance he plays
    47%
  • 76. Jonathan Ward †
    TEN
    7.0 median
    Floor (P10)
    0.0
    Ceiling (P90)
    117.1
    Chance he plays
    47%
  • 77. Kene Nwangwu †
    MIN
    6.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    116.4
    Chance he plays
    47%
  • BUF
    6.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    116.4
    Chance he plays
    47%

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.

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.

13 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 21 of the 78 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 — 77% of real seasons landed inside the 80% range and 89% inside the 90% range, measured on 95 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 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 47 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: ranked on this position's 2025 season board, with no projection for the 2026 season published for them.

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