Players
2024 Week 5 · Archive

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).

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 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%
  • NYJ
    236.3 median
    Floor (P10)
    75.1
    Ceiling (P90)
    426.3
    Chance he plays
    98%
  • DET
    218.2 median
    Floor (P10)
    70.7
    Ceiling (P90)
    390.9
    Chance he plays
    99%
  • MIA
    203.2 median
    Floor (P10)
    58.1
    Ceiling (P90)
    369.0
    Chance he plays
    98%
  • 179.7 median
    Floor (P10)
    48.3
    Ceiling (P90)
    359.0
    Chance he plays
    99%
  • SF
    210.0 median
    Floor (P10)
    60.1
    Ceiling (P90)
    337.2
    Chance he plays
    92%
  • 183.6 median
    Floor (P10)
    58.6
    Ceiling (P90)
    341.6
    Chance he plays
    97%
  • GB
    173.1 median
    Floor (P10)
    47.1
    Ceiling (P90)
    322.0
    Chance he plays
    96%
  • 162.1 median
    Floor (P10)
    49.6
    Ceiling (P90)
    315.7
    Chance he plays
    95%
  • 153.7 median
    Floor (P10)
    38.9
    Ceiling (P90)
    306.9
    Chance he plays
    98%
  • TB
    155.7 median
    Floor (P10)
    45.2
    Ceiling (P90)
    294.9
    Chance he plays
    97%
  • 153.6 median
    Floor (P10)
    37.6
    Ceiling (P90)
    312.6
    Chance he plays
    98%
  • CAR
    152.7 median
    Floor (P10)
    39.6
    Ceiling (P90)
    305.3
    Chance he plays
    97%
  • BAL
    176.7 median
    Floor (P10)
    54.9
    Ceiling (P90)
    311.6
    Chance he plays
    88%
  • BUF
    147.1 median
    Floor (P10)
    43.6
    Ceiling (P90)
    300.4
    Chance he plays
    97%
  • KC
    146.9 median
    Floor (P10)
    33.6
    Ceiling (P90)
    290.6
    Chance he plays
    97%
  • PIT
    147.1 median
    Floor (P10)
    36.3
    Ceiling (P90)
    292.4
    Chance he plays
    96%
  • CHI
    144.4 median
    Floor (P10)
    43.7
    Ceiling (P90)
    274.4
    Chance he plays
    97%
  • 146.4 median
    Floor (P10)
    40.6
    Ceiling (P90)
    283.3
    Chance he plays
    95%
  • 129.8 median
    Floor (P10)
    33.3
    Ceiling (P90)
    269.3
    Chance he plays
    95%
  • CLE
    117.8 median
    Floor (P10)
    26.7
    Ceiling (P90)
    252.4
    Chance he plays
    97%
  • TEN
    121.7 median
    Floor (P10)
    29.8
    Ceiling (P90)
    255.8
    Chance he plays
    95%
  • 155.6 median
    Floor (P10)
    51.4
    Ceiling (P90)
    303.2
    Chance he plays
    74%
  • NO
    154.2 median
    Floor (P10)
    50.5
    Ceiling (P90)
    300.0
    Chance he plays
    74%
  • PIT
    151.3 median
    Floor (P10)
    47.1
    Ceiling (P90)
    298.9
    Chance he plays
    74%
  • ARI
    120.8 median
    Floor (P10)
    26.3
    Ceiling (P90)
    257.9
    Chance he plays
    91%
  • 141.9 median
    Floor (P10)
    32.7
    Ceiling (P90)
    295.6
    Chance he plays
    74%
  • 140.2 median
    Floor (P10)
    36.3
    Ceiling (P90)
    286.7
    Chance he plays
    74%
  • TEN
    125.4 median
    Floor (P10)
    21.7
    Ceiling (P90)
    271.2
    Chance he plays
    74%
  • MIN
    114.8 median
    Floor (P10)
    5.1
    Ceiling (P90)
    269.2
    Chance he plays
    74%
  • IND
    106.0 median
    Floor (P10)
    0.0
    Ceiling (P90)
    260.1
    Chance he plays
    74%
  • ATL
    100.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    246.2
    Chance he plays
    74%
  • HOU
    78.4 median
    Floor (P10)
    25.4
    Ceiling (P90)
    218.0
    Chance he plays
    74%
  • SEA
    75.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    221.0
    Chance he plays
    74%
  • 73.6 median
    Floor (P10)
    0.0
    Ceiling (P90)
    219.3
    Chance he plays
    74%
  • CHI
    72.1 median
    Floor (P10)
    0.0
    Ceiling (P90)
    217.3
    Chance he plays
    74%
  • LV
    71.7 median
    Floor (P10)
    18.4
    Ceiling (P90)
    211.0
    Chance he plays
    74%
  • ARI
    67.4 median
    Floor (P10)
    14.4
    Ceiling (P90)
    207.0
    Chance he plays
    74%
  • JAX
    64.9 median
    Floor (P10)
    11.6
    Ceiling (P90)
    204.2
    Chance he plays
    74%
  • CHI
    62.1 median
    Floor (P10)
    0.0
    Ceiling (P90)
    208.3
    Chance he plays
    74%
  • BAL
    56.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    202.5
    Chance he plays
    74%
  • MIN
    52.9 median
    Floor (P10)
    0.0
    Ceiling (P90)
    198.7
    Chance he plays
    74%
  • 54.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    199.8
    Chance he plays
    74%
  • CIN
    56.0 median
    Floor (P10)
    2.8
    Ceiling (P90)
    195.3
    Chance he plays
    74%
  • KC
    48.9 median
    Floor (P10)
    0.0
    Ceiling (P90)
    196.1
    Chance he plays
    74%
  • 45. Kendre Miller †
    NO
    72.6 median
    Floor (P10)
    19.7
    Ceiling (P90)
    212.2
    Chance he plays
    59%
  • 46. AJ Dillon †
    GB
    69.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    215.6
    Chance he plays
    59%
  • DAL
    44.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    189.6
    Chance he plays
    74%
  • SF
    43.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    182.9
    Chance he plays
    74%
  • BAL
    57.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    202.9
    Chance he plays
    59%
  • ARI
    58.6 median
    Floor (P10)
    5.4
    Ceiling (P90)
    197.9
    Chance he plays
    59%
  • CLE
    37.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    176.4
    Chance he plays
    74%
  • SF
    31.9 median
    Floor (P10)
    0.0
    Ceiling (P90)
    171.1
    Chance he plays
    74%
  • TB
    27.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    167.2
    Chance he plays
    74%
  • IND
    30.6 median
    Floor (P10)
    7.5
    Ceiling (P90)
    120.6
    Chance he plays
    74%
  • 31.7 median
    Floor (P10)
    8.5
    Ceiling (P90)
    121.6
    Chance he plays
    74%
  • IND
    25.1 median
    Floor (P10)
    0.0
    Ceiling (P90)
    164.4
    Chance he plays
    74%
  • WAS
    35.6 median
    Floor (P10)
    0.0
    Ceiling (P90)
    174.9
    Chance he plays
    59%
  • LAR
    30.4 median
    Floor (P10)
    7.3
    Ceiling (P90)
    120.4
    Chance he plays
    74%
  • BUF
    18.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    158.0
    Chance he plays
    74%
  • 60. Salvon Ahmed †
    MIA
    37.0 median
    Floor (P10)
    0.0
    Ceiling (P90)
    176.3
    Chance he plays
    59%
  • MIA
    18.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    157.5
    Chance he plays
    74%
  • 29.4 median
    Floor (P10)
    6.3
    Ceiling (P90)
    119.4
    Chance he plays
    74%
  • NYG
    26.5 median
    Floor (P10)
    3.4
    Ceiling (P90)
    116.5
    Chance he plays
    74%
  • GB
    26.3 median
    Floor (P10)
    3.2
    Ceiling (P90)
    116.3
    Chance he plays
    74%
  • BAL
    24.3 median
    Floor (P10)
    1.1
    Ceiling (P90)
    114.2
    Chance he plays
    74%
  • LAC
    20.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    110.2
    Chance he plays
    74%
  • DAL
    20.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    110.7
    Chance he plays
    74%
  • DET
    26.9 median
    Floor (P10)
    3.8
    Ceiling (P90)
    116.8
    Chance he plays
    59%
  • 69. Andrew Beck †
    HOU
    22.9 median
    Floor (P10)
    0.0
    Ceiling (P90)
    112.8
    Chance he plays
    59%
  • DEN
    12.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    102.7
    Chance he plays
    74%
  • DET
    20.0 median
    Floor (P10)
    0.0
    Ceiling (P90)
    109.9
    Chance he plays
    59%
  • NO
    10.5 median
    Floor (P10)
    -1.7
    Ceiling (P90)
    100.4
    Chance he plays
    74%
  • CHI
    8.9 median
    Floor (P10)
    0.0
    Ceiling (P90)
    98.8
    Chance he plays
    74%
  • 74. DeeJay Dallas †
    ARI
    16.3 median
    Floor (P10)
    -0.1
    Ceiling (P90)
    106.2
    Chance he plays
    59%
  • CHI
    8.5 median
    Floor (P10)
    0.0
    Ceiling (P90)
    98.4
    Chance he plays
    74%
  • HOU
    2.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    92.2
    Chance he plays
    74%
  • 77. Kene Nwangwu †
    MIN
    5.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    95.1
    Chance he plays
    59%
  • BUF
    2.9 median
    Floor (P10)
    -0.1
    Ceiling (P90)
    92.8
    Chance he plays
    59%
  • 79. Jonathan Ward †
    TEN
    3.6 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.
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