Players
2024 Week 5 · Archive

Players — 2024 Week 5

Scoring: Full PPR · 6-pt pass TD

TE 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 Sam LaPorta DET 183.6 126.8 244.3 96%
2 George Kittle SF 195.2 139.5 253.2 90%
3 Dalton Kincaid BUF 177.5 123.0 239.6 97%
4 Trey McBride ARI 174.6 121.4 239.6 97%
5 David Njoku CLE 169.1 111.1 229.9 97%
6 Dallas Goedert PHI 173.6 119.3 232.7 95%
7 Cole Kmet CHI 165.7 106.1 227.5 98%
8 T.J. Hockenson † MIN 157.4 81.5 235.6 96%
9 Kyle Pitts ATL 144.6 88.1 207.2 97%
10 Evan Engram JAX 151.9 90.9 203.8 93%
11 Mark Andrews BAL 140.7 80.5 201.9 97%
12 Jake Ferguson DAL 118.1 61.4 181.5 98%
13 Chig Okonkwo TEN 112.0 58.7 179.3 97%
14 Travis Kelce KC 173.3 114.9 235.0 62%
15 Dalton Schultz HOU 109.6 50.1 172.1 97%
16 Darren Waller † NYG 110.6 41.3 181.8 86%
17 Tyler Conklin NYJ 94.2 37.6 151.9 97%
18 Cade Otton TB 97.6 34.8 212.1 78%
19 Isaiah Likely BAL 92.2 29.2 206.7 79%
20 Jonnu Smith MIA 82.8 25.2 136.4 97%
21 Pat Freiermuth PIT 84.0 24.9 202.5 77%
22 Tucker Kraft GB 71.8 15.1 185.7 80%
23 Luke Musgrave GB 70.4 14.9 181.8 80%
24 Hunter Henry NE 82.3 19.5 196.8 68%
25 Michael Mayer LV 63.3 7.0 177.1 81%
26 Juwan Johnson NO 67.8 9.3 182.3 72%
27 Tommy Tremble CAR 51.6 4.7 166.1 79%
28 Dawson Knox BUF 58.4 5.5 178.6 73%
29 Noah Gray KC 53.6 1.8 167.3 78%
30 Daniel Bellinger NYG 50.1 0.0 156.5 80%
31 Kylen Granson IND 51.8 0.2 161.1 76%
32 Brevin Jordan HOU 43.1 0.0 157.0 80%
33 Noah Fant SEA 54.6 2.5 158.5 75%
34 Jeremy Ruckert NYJ 46.5 14.5 134.3 80%
35 Will Mallory † IND 47.6 15.8 135.2 75%
36 Davis Allen LAR 41.3 8.4 131.6 80%
37 Colby Parkinson LAR 41.1 0.0 154.3 77%
38 Durham Smythe MIA 50.8 0.0 153.6 70%
39 Tanner Hudson CIN 49.8 0.1 156.2 68%
40 Connor Heyward PIT 43.8 12.1 130.7 77%
41 Josh Oliver MIN 42.2 8.2 131.7 74%
42 Elijah Higgins ARI 31.8 0.0 143.3 80%
43 Drew Sample CIN 39.7 8.6 130.4 72%
44 Cole Turner † WAS 36.4 4.5 124.2 78%
45 Tyler Higbee † LAR 69.4 13.9 181.6 46%
46 Josh Whyle TEN 32.8 3.6 123.1 78%
47 Mike Gesicki CIN 35.2 0.0 147.6 71%
48 Foster Moreau NO 37.1 5.5 126.3 74%
49 Drew Ogletree IND 32.5 6.1 123.3 76%
50 Adam Trautman DEN 29.6 0.0 143.5 73%
51 Darnell Washington PIT 29.4 0.4 116.9 81%
52 Brenton Strange JAX 28.6 1.9 118.8 80%
53 Austin Hooper NE 37.8 7.8 123.5 68%
54 Stone Smartt † LAC 30.6 2.5 120.3 72%
55 Greg Dulcich DEN 27.5 4.5 101.6 79%
56 John Bates WAS 30.1 2.1 116.2 75%
57 Brock Wright DET 28.4 2.3 118.1 77%
58 Luke Schoonmaker DAL 25.4 3.5 114.4 77%
59 Payne Durham TB 26.1 0.0 113.9 80%
60 Teagan Quitoriano † HOU 27.3 4.3 101.4 78%
61 Julian Hill MIA 23.9 -2.0 111.4 80%
62 Charlie Kolar BAL 23.4 0.1 112.9 77%
63 Nate Adkins DEN 24.1 2.1 98.2 78%
64 Luke Farrell JAX 24.3 0.0 110.4 75%
65 Johnny Mundt MIN 26.7 0.0 114.5 68%
66 Lucas Krull † DEN 22.4 0.0 111.8 70%
67 James Mitchell † DET 24.0 2.0 98.1 75%
68 Mo Alie-Cox IND 25.7 3.6 115.2 66%
69 Grant Calcaterra PHI 18.4 0.0 92.4 77%
70 Quintin Morris † BUF 21.7 3.9 96.1 73%
71 Pharaoh Brown SEA 21.2 -1.7 108.4 67%
72 Josiah Deguara JAX 15.8 0.0 89.4 73%
73 Jack Stoll PHI 13.0 0.0 86.9 75%
74 Ko Kieft † TB 12.2 2.4 86.1 69%
75 Charlie Woerner ATL 8.4 0.0 82.0 75%
76 Ian Thomas † CAR 12.1 0.0 84.7 61%
77 Robert Tonyan † MIN 16.9 0.0 89.5 52%
78 Chris Manhertz † NYG 13.3 0.0 87.2 43%
79 Nick Vannett TEN 2.3 0.0 72.4 64%
80 Eric Saubert SF 2.7 0.0 73.2 67%
  • DET
    183.6 median
    Floor (P10)
    126.8
    Ceiling (P90)
    244.3
    Chance he plays
    96%
  • 195.2 median
    Floor (P10)
    139.5
    Ceiling (P90)
    253.2
    Chance he plays
    90%
  • 177.5 median
    Floor (P10)
    123.0
    Ceiling (P90)
    239.6
    Chance he plays
    97%
  • ARI
    174.6 median
    Floor (P10)
    121.4
    Ceiling (P90)
    239.6
    Chance he plays
    97%
  • CLE
    169.1 median
    Floor (P10)
    111.1
    Ceiling (P90)
    229.9
    Chance he plays
    97%
  • 173.6 median
    Floor (P10)
    119.3
    Ceiling (P90)
    232.7
    Chance he plays
    95%
  • CHI
    165.7 median
    Floor (P10)
    106.1
    Ceiling (P90)
    227.5
    Chance he plays
    98%
  • MIN
    157.4 median
    Floor (P10)
    81.5
    Ceiling (P90)
    235.6
    Chance he plays
    96%
  • ATL
    144.6 median
    Floor (P10)
    88.1
    Ceiling (P90)
    207.2
    Chance he plays
    97%
  • JAX
    151.9 median
    Floor (P10)
    90.9
    Ceiling (P90)
    203.8
    Chance he plays
    93%
  • BAL
    140.7 median
    Floor (P10)
    80.5
    Ceiling (P90)
    201.9
    Chance he plays
    97%
  • DAL
    118.1 median
    Floor (P10)
    61.4
    Ceiling (P90)
    181.5
    Chance he plays
    98%
  • TEN
    112.0 median
    Floor (P10)
    58.7
    Ceiling (P90)
    179.3
    Chance he plays
    97%
  • KC
    173.3 median
    Floor (P10)
    114.9
    Ceiling (P90)
    235.0
    Chance he plays
    62%
  • HOU
    109.6 median
    Floor (P10)
    50.1
    Ceiling (P90)
    172.1
    Chance he plays
    97%
  • 16. Darren Waller †
    NYG
    110.6 median
    Floor (P10)
    41.3
    Ceiling (P90)
    181.8
    Chance he plays
    86%
  • NYJ
    94.2 median
    Floor (P10)
    37.6
    Ceiling (P90)
    151.9
    Chance he plays
    97%
  • TB
    97.6 median
    Floor (P10)
    34.8
    Ceiling (P90)
    212.1
    Chance he plays
    78%
  • BAL
    92.2 median
    Floor (P10)
    29.2
    Ceiling (P90)
    206.7
    Chance he plays
    79%
  • MIA
    82.8 median
    Floor (P10)
    25.2
    Ceiling (P90)
    136.4
    Chance he plays
    97%
  • PIT
    84.0 median
    Floor (P10)
    24.9
    Ceiling (P90)
    202.5
    Chance he plays
    77%
  • GB
    71.8 median
    Floor (P10)
    15.1
    Ceiling (P90)
    185.7
    Chance he plays
    80%
  • GB
    70.4 median
    Floor (P10)
    14.9
    Ceiling (P90)
    181.8
    Chance he plays
    80%
  • NE
    82.3 median
    Floor (P10)
    19.5
    Ceiling (P90)
    196.8
    Chance he plays
    68%
  • LV
    63.3 median
    Floor (P10)
    7.0
    Ceiling (P90)
    177.1
    Chance he plays
    81%
  • NO
    67.8 median
    Floor (P10)
    9.3
    Ceiling (P90)
    182.3
    Chance he plays
    72%
  • CAR
    51.6 median
    Floor (P10)
    4.7
    Ceiling (P90)
    166.1
    Chance he plays
    79%
  • BUF
    58.4 median
    Floor (P10)
    5.5
    Ceiling (P90)
    178.6
    Chance he plays
    73%
  • KC
    53.6 median
    Floor (P10)
    1.8
    Ceiling (P90)
    167.3
    Chance he plays
    78%
  • 50.1 median
    Floor (P10)
    0.0
    Ceiling (P90)
    156.5
    Chance he plays
    80%
  • IND
    51.8 median
    Floor (P10)
    0.2
    Ceiling (P90)
    161.1
    Chance he plays
    76%
  • HOU
    43.1 median
    Floor (P10)
    0.0
    Ceiling (P90)
    157.0
    Chance he plays
    80%
  • SEA
    54.6 median
    Floor (P10)
    2.5
    Ceiling (P90)
    158.5
    Chance he plays
    75%
  • NYJ
    46.5 median
    Floor (P10)
    14.5
    Ceiling (P90)
    134.3
    Chance he plays
    80%
  • 35. Will Mallory †
    IND
    47.6 median
    Floor (P10)
    15.8
    Ceiling (P90)
    135.2
    Chance he plays
    75%
  • LAR
    41.3 median
    Floor (P10)
    8.4
    Ceiling (P90)
    131.6
    Chance he plays
    80%
  • LAR
    41.1 median
    Floor (P10)
    0.0
    Ceiling (P90)
    154.3
    Chance he plays
    77%
  • MIA
    50.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    153.6
    Chance he plays
    70%
  • CIN
    49.8 median
    Floor (P10)
    0.1
    Ceiling (P90)
    156.2
    Chance he plays
    68%
  • PIT
    43.8 median
    Floor (P10)
    12.1
    Ceiling (P90)
    130.7
    Chance he plays
    77%
  • MIN
    42.2 median
    Floor (P10)
    8.2
    Ceiling (P90)
    131.7
    Chance he plays
    74%
  • ARI
    31.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    143.3
    Chance he plays
    80%
  • CIN
    39.7 median
    Floor (P10)
    8.6
    Ceiling (P90)
    130.4
    Chance he plays
    72%
  • 44. Cole Turner †
    WAS
    36.4 median
    Floor (P10)
    4.5
    Ceiling (P90)
    124.2
    Chance he plays
    78%
  • 45. Tyler Higbee †
    LAR
    69.4 median
    Floor (P10)
    13.9
    Ceiling (P90)
    181.6
    Chance he plays
    46%
  • TEN
    32.8 median
    Floor (P10)
    3.6
    Ceiling (P90)
    123.1
    Chance he plays
    78%
  • CIN
    35.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    147.6
    Chance he plays
    71%
  • NO
    37.1 median
    Floor (P10)
    5.5
    Ceiling (P90)
    126.3
    Chance he plays
    74%
  • IND
    32.5 median
    Floor (P10)
    6.1
    Ceiling (P90)
    123.3
    Chance he plays
    76%
  • DEN
    29.6 median
    Floor (P10)
    0.0
    Ceiling (P90)
    143.5
    Chance he plays
    73%
  • 29.4 median
    Floor (P10)
    0.4
    Ceiling (P90)
    116.9
    Chance he plays
    81%
  • JAX
    28.6 median
    Floor (P10)
    1.9
    Ceiling (P90)
    118.8
    Chance he plays
    80%
  • NE
    37.8 median
    Floor (P10)
    7.8
    Ceiling (P90)
    123.5
    Chance he plays
    68%
  • 54. Stone Smartt †
    LAC
    30.6 median
    Floor (P10)
    2.5
    Ceiling (P90)
    120.3
    Chance he plays
    72%
  • DEN
    27.5 median
    Floor (P10)
    4.5
    Ceiling (P90)
    101.6
    Chance he plays
    79%
  • WAS
    30.1 median
    Floor (P10)
    2.1
    Ceiling (P90)
    116.2
    Chance he plays
    75%
  • DET
    28.4 median
    Floor (P10)
    2.3
    Ceiling (P90)
    118.1
    Chance he plays
    77%
  • 25.4 median
    Floor (P10)
    3.5
    Ceiling (P90)
    114.4
    Chance he plays
    77%
  • TB
    26.1 median
    Floor (P10)
    0.0
    Ceiling (P90)
    113.9
    Chance he plays
    80%
  • HOU
    27.3 median
    Floor (P10)
    4.3
    Ceiling (P90)
    101.4
    Chance he plays
    78%
  • MIA
    23.9 median
    Floor (P10)
    -2.0
    Ceiling (P90)
    111.4
    Chance he plays
    80%
  • BAL
    23.4 median
    Floor (P10)
    0.1
    Ceiling (P90)
    112.9
    Chance he plays
    77%
  • DEN
    24.1 median
    Floor (P10)
    2.1
    Ceiling (P90)
    98.2
    Chance he plays
    78%
  • JAX
    24.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    110.4
    Chance he plays
    75%
  • MIN
    26.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    114.5
    Chance he plays
    68%
  • 66. Lucas Krull †
    DEN
    22.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    111.8
    Chance he plays
    70%
  • DET
    24.0 median
    Floor (P10)
    2.0
    Ceiling (P90)
    98.1
    Chance he plays
    75%
  • IND
    25.7 median
    Floor (P10)
    3.6
    Ceiling (P90)
    115.2
    Chance he plays
    66%
  • 18.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    92.4
    Chance he plays
    77%
  • BUF
    21.7 median
    Floor (P10)
    3.9
    Ceiling (P90)
    96.1
    Chance he plays
    73%
  • SEA
    21.2 median
    Floor (P10)
    -1.7
    Ceiling (P90)
    108.4
    Chance he plays
    67%
  • JAX
    15.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    89.4
    Chance he plays
    73%
  • PHI
    13.0 median
    Floor (P10)
    0.0
    Ceiling (P90)
    86.9
    Chance he plays
    75%
  • 74. Ko Kieft †
    TB
    12.2 median
    Floor (P10)
    2.4
    Ceiling (P90)
    86.1
    Chance he plays
    69%
  • ATL
    8.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    82.0
    Chance he plays
    75%
  • 76. Ian Thomas †
    CAR
    12.1 median
    Floor (P10)
    0.0
    Ceiling (P90)
    84.7
    Chance he plays
    61%
  • 77. Robert Tonyan †
    MIN
    16.9 median
    Floor (P10)
    0.0
    Ceiling (P90)
    89.5
    Chance he plays
    52%
  • NYG
    13.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    87.2
    Chance he plays
    43%
  • TEN
    2.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    72.4
    Chance he plays
    64%
  • SF
    2.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    73.2
    Chance he plays
    67%

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 TE here, because what we have for them doesn't hold up; the seasons offered above are the ones we publish.

No ranking by the rest of the 2024 season and the 2025–2026 seasons combined is shown. That combined total is tested for only some players at this position, and a ranking that left the rest out would not be a ranking of the position.

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 before 30 are also raised, by as much as we have measured full-time tight ends that age outperform their projections.

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.

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 18 of the 80 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 10% 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 — 79% of real seasons landed inside the 80% range and 86% 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 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 20 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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