Players
2024 Week 5 · Archive

Players — 2024 Week 5

Scoring: Full PPR · 6-pt pass TD

TE 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 Dalton Kincaid BUF 172.1 111.1 240.0 97%
2 Trey McBride ARI 162.4 98.9 224.8 97%
3 Sam LaPorta DET 154.7 83.2 229.7 97%
4 Cole Kmet CHI 148.8 76.3 226.9 96%
5 Kyle Pitts ATL 136.2 79.2 201.4 97%
6 David Njoku CLE 137.8 73.8 209.4 92%
7 Dallas Goedert PHI 154.5 90.0 215.6 78%
8 George Kittle SF 163.8 98.0 239.8 67%
9 Jake Ferguson DAL 106.7 33.5 175.0 96%
10 Chig Okonkwo TEN 93.2 37.9 159.8 97%
11 Dalton Schultz HOU 96.1 30.9 168.9 92%
12 Evan Engram JAX 112.5 43.9 184.2 73%
13 Isaiah Likely BAL 88.1 31.1 216.7 74%
14 Mark Andrews BAL 91.3 37.3 152.8 86%
15 Cade Otton TB 92.5 36.0 221.5 69%
16 Jonnu Smith MIA 84.8 19.2 151.3 86%
17 Tyler Conklin NYJ 78.5 16.1 148.9 85%
18 Tucker Kraft GB 71.1 15.0 198.4 76%
19 Luke Musgrave GB 69.6 15.2 195.1 76%
20 Pat Freiermuth PIT 78.3 20.7 211.2 67%
21 Michael Mayer LV 62.3 9.3 189.4 79%
22 Travis Kelce KC 175.9 115.9 234.2 33%
23 Tommy Tremble CAR 48.8 5.2 177.3 74%
24 Daniel Bellinger NYG 49.0 1.0 169.7 76%
25 Noah Gray KC 49.5 2.2 176.5 69%
26 Brevin Jordan HOU 42.1 0.6 169.2 75%
27 Juwan Johnson NO 62.6 10.3 191.2 58%
28 Hunter Henry NE 76.2 20.1 204.8 50%
29 Jeremy Ruckert NYJ 43.3 12.8 147.2 75%
30 Kylen Granson IND 46.7 0.7 169.3 64%
31 Noah Fant SEA 53.3 3.4 169.4 63%
32 Davis Allen LAR 37.7 6.8 142.3 77%
33 Dawson Knox BUF 51.8 4.7 186.9 59%
34 Elijah Higgins ARI 30.7 0.0 156.2 76%
35 Colby Parkinson LAR 37.8 0.0 164.9 68%
36 Connor Heyward PIT 37.2 9.9 140.9 68%
37 Will Mallory † IND 39.8 10.4 143.6 69%
38 Adam Trautman DEN 46.2 14.3 150.8 59%
39 Cole Turner † WAS 30.8 2.1 134.6 74%
40 Darnell Washington PIT 26.5 0.5 130.4 79%
41 Greg Dulcich DEN 33.1 6.1 117.6 73%
42 Josh Oliver MIN 39.8 8.2 144.3 60%
43 Brenton Strange JAX 26.7 2.2 131.3 77%
44 Teagan Quitoriano † HOU 32.1 5.1 116.6 74%
45 Tyler Higbee † LAR 84.3 28.5 211.3 31%
46 Josh Whyle TEN 25.8 1.5 130.3 71%
47 Durham Smythe MIA 44.6 0.0 159.4 53%
48 Tanner Hudson CIN 43.8 0.5 163.4 50%
49 Foster Moreau NO 32.8 4.6 137.4 61%
50 Mike Gesicki CIN 31.6 0.0 157.7 54%
51 Lucas Krull † DEN 32.7 5.7 117.4 62%
52 Payne Durham TB 21.4 0.0 125.4 75%
53 James Mitchell † DET 27.3 1.4 111.8 70%
54 Julian Hill MIA 19.8 -1.9 123.8 75%
55 Quintin Morris † BUF 27.1 3.6 111.7 66%
56 Drew Sample CIN 33.9 6.4 138.5 56%
57 Nate Adkins DEN 28.1 2.6 112.6 70%
58 Drew Ogletree IND 24.7 3.2 129.2 66%
59 John Bates WAS 25.1 2.6 128.0 63%
60 Brock Wright DET 23.5 1.0 127.2 67%
61 Stone Smartt † LAC 24.0 0.2 128.5 64%
62 Luke Schoonmaker DAL 19.9 2.0 122.5 67%
63 Charlie Kolar BAL 19.3 0.0 123.3 68%
64 Grant Calcaterra PHI 22.9 0.0 107.2 67%
65 Luke Farrell JAX 20.2 0.0 123.1 63%
66 Mo Alie-Cox IND 42.8 12.2 147.4 45%
67 Austin Hooper NE 27.3 3.0 129.8 49%
68 Josiah Deguara JAX 21.0 0.0 104.8 59%
69 Jack Stoll PHI 17.9 0.0 102.0 64%
70 Charlie Woerner ATL 16.2 0.0 100.2 63%
71 Ko Kieft † TB 15.9 1.5 100.6 59%
72 Johnny Mundt MIN 18.7 0.0 122.7 50%
73 Pharaoh Brown SEA 25.3 1.9 109.6 48%
74 Ian Thomas † CAR 16.6 0.0 100.3 48%
75 Nick Vannett TEN 17.1 0.0 101.4 43%
76 Robert Tonyan † MIN 12.3 0.0 95.7 37%
77 Eric Saubert SF 4.6 0.0 85.6 48%
78 Chris Manhertz † NYG 19.4 0.0 103.7 28%
  • 172.1 median
    Floor (P10)
    111.1
    Ceiling (P90)
    240.0
    Chance he plays
    97%
  • ARI
    162.4 median
    Floor (P10)
    98.9
    Ceiling (P90)
    224.8
    Chance he plays
    97%
  • DET
    154.7 median
    Floor (P10)
    83.2
    Ceiling (P90)
    229.7
    Chance he plays
    97%
  • CHI
    148.8 median
    Floor (P10)
    76.3
    Ceiling (P90)
    226.9
    Chance he plays
    96%
  • ATL
    136.2 median
    Floor (P10)
    79.2
    Ceiling (P90)
    201.4
    Chance he plays
    97%
  • CLE
    137.8 median
    Floor (P10)
    73.8
    Ceiling (P90)
    209.4
    Chance he plays
    92%
  • 154.5 median
    Floor (P10)
    90.0
    Ceiling (P90)
    215.6
    Chance he plays
    78%
  • 163.8 median
    Floor (P10)
    98.0
    Ceiling (P90)
    239.8
    Chance he plays
    67%
  • DAL
    106.7 median
    Floor (P10)
    33.5
    Ceiling (P90)
    175.0
    Chance he plays
    96%
  • TEN
    93.2 median
    Floor (P10)
    37.9
    Ceiling (P90)
    159.8
    Chance he plays
    97%
  • HOU
    96.1 median
    Floor (P10)
    30.9
    Ceiling (P90)
    168.9
    Chance he plays
    92%
  • JAX
    112.5 median
    Floor (P10)
    43.9
    Ceiling (P90)
    184.2
    Chance he plays
    73%
  • BAL
    88.1 median
    Floor (P10)
    31.1
    Ceiling (P90)
    216.7
    Chance he plays
    74%
  • BAL
    91.3 median
    Floor (P10)
    37.3
    Ceiling (P90)
    152.8
    Chance he plays
    86%
  • TB
    92.5 median
    Floor (P10)
    36.0
    Ceiling (P90)
    221.5
    Chance he plays
    69%
  • MIA
    84.8 median
    Floor (P10)
    19.2
    Ceiling (P90)
    151.3
    Chance he plays
    86%
  • NYJ
    78.5 median
    Floor (P10)
    16.1
    Ceiling (P90)
    148.9
    Chance he plays
    85%
  • GB
    71.1 median
    Floor (P10)
    15.0
    Ceiling (P90)
    198.4
    Chance he plays
    76%
  • GB
    69.6 median
    Floor (P10)
    15.2
    Ceiling (P90)
    195.1
    Chance he plays
    76%
  • PIT
    78.3 median
    Floor (P10)
    20.7
    Ceiling (P90)
    211.2
    Chance he plays
    67%
  • LV
    62.3 median
    Floor (P10)
    9.3
    Ceiling (P90)
    189.4
    Chance he plays
    79%
  • KC
    175.9 median
    Floor (P10)
    115.9
    Ceiling (P90)
    234.2
    Chance he plays
    33%
  • CAR
    48.8 median
    Floor (P10)
    5.2
    Ceiling (P90)
    177.3
    Chance he plays
    74%
  • 49.0 median
    Floor (P10)
    1.0
    Ceiling (P90)
    169.7
    Chance he plays
    76%
  • KC
    49.5 median
    Floor (P10)
    2.2
    Ceiling (P90)
    176.5
    Chance he plays
    69%
  • HOU
    42.1 median
    Floor (P10)
    0.6
    Ceiling (P90)
    169.2
    Chance he plays
    75%
  • NO
    62.6 median
    Floor (P10)
    10.3
    Ceiling (P90)
    191.2
    Chance he plays
    58%
  • NE
    76.2 median
    Floor (P10)
    20.1
    Ceiling (P90)
    204.8
    Chance he plays
    50%
  • NYJ
    43.3 median
    Floor (P10)
    12.8
    Ceiling (P90)
    147.2
    Chance he plays
    75%
  • IND
    46.7 median
    Floor (P10)
    0.7
    Ceiling (P90)
    169.3
    Chance he plays
    64%
  • SEA
    53.3 median
    Floor (P10)
    3.4
    Ceiling (P90)
    169.4
    Chance he plays
    63%
  • LAR
    37.7 median
    Floor (P10)
    6.8
    Ceiling (P90)
    142.3
    Chance he plays
    77%
  • BUF
    51.8 median
    Floor (P10)
    4.7
    Ceiling (P90)
    186.9
    Chance he plays
    59%
  • ARI
    30.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    156.2
    Chance he plays
    76%
  • LAR
    37.8 median
    Floor (P10)
    0.0
    Ceiling (P90)
    164.9
    Chance he plays
    68%
  • PIT
    37.2 median
    Floor (P10)
    9.9
    Ceiling (P90)
    140.9
    Chance he plays
    68%
  • 37. Will Mallory †
    IND
    39.8 median
    Floor (P10)
    10.4
    Ceiling (P90)
    143.6
    Chance he plays
    69%
  • DEN
    46.2 median
    Floor (P10)
    14.3
    Ceiling (P90)
    150.8
    Chance he plays
    59%
  • 39. Cole Turner †
    WAS
    30.8 median
    Floor (P10)
    2.1
    Ceiling (P90)
    134.6
    Chance he plays
    74%
  • 26.5 median
    Floor (P10)
    0.5
    Ceiling (P90)
    130.4
    Chance he plays
    79%
  • DEN
    33.1 median
    Floor (P10)
    6.1
    Ceiling (P90)
    117.6
    Chance he plays
    73%
  • MIN
    39.8 median
    Floor (P10)
    8.2
    Ceiling (P90)
    144.3
    Chance he plays
    60%
  • JAX
    26.7 median
    Floor (P10)
    2.2
    Ceiling (P90)
    131.3
    Chance he plays
    77%
  • HOU
    32.1 median
    Floor (P10)
    5.1
    Ceiling (P90)
    116.6
    Chance he plays
    74%
  • 45. Tyler Higbee †
    LAR
    84.3 median
    Floor (P10)
    28.5
    Ceiling (P90)
    211.3
    Chance he plays
    31%
  • TEN
    25.8 median
    Floor (P10)
    1.5
    Ceiling (P90)
    130.3
    Chance he plays
    71%
  • MIA
    44.6 median
    Floor (P10)
    0.0
    Ceiling (P90)
    159.4
    Chance he plays
    53%
  • CIN
    43.8 median
    Floor (P10)
    0.5
    Ceiling (P90)
    163.4
    Chance he plays
    50%
  • NO
    32.8 median
    Floor (P10)
    4.6
    Ceiling (P90)
    137.4
    Chance he plays
    61%
  • CIN
    31.6 median
    Floor (P10)
    0.0
    Ceiling (P90)
    157.7
    Chance he plays
    54%
  • 51. Lucas Krull †
    DEN
    32.7 median
    Floor (P10)
    5.7
    Ceiling (P90)
    117.4
    Chance he plays
    62%
  • TB
    21.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    125.4
    Chance he plays
    75%
  • DET
    27.3 median
    Floor (P10)
    1.4
    Ceiling (P90)
    111.8
    Chance he plays
    70%
  • MIA
    19.8 median
    Floor (P10)
    -1.9
    Ceiling (P90)
    123.8
    Chance he plays
    75%
  • BUF
    27.1 median
    Floor (P10)
    3.6
    Ceiling (P90)
    111.7
    Chance he plays
    66%
  • CIN
    33.9 median
    Floor (P10)
    6.4
    Ceiling (P90)
    138.5
    Chance he plays
    56%
  • DEN
    28.1 median
    Floor (P10)
    2.6
    Ceiling (P90)
    112.6
    Chance he plays
    70%
  • IND
    24.7 median
    Floor (P10)
    3.2
    Ceiling (P90)
    129.2
    Chance he plays
    66%
  • WAS
    25.1 median
    Floor (P10)
    2.6
    Ceiling (P90)
    128.0
    Chance he plays
    63%
  • DET
    23.5 median
    Floor (P10)
    1.0
    Ceiling (P90)
    127.2
    Chance he plays
    67%
  • 61. Stone Smartt †
    LAC
    24.0 median
    Floor (P10)
    0.2
    Ceiling (P90)
    128.5
    Chance he plays
    64%
  • 19.9 median
    Floor (P10)
    2.0
    Ceiling (P90)
    122.5
    Chance he plays
    67%
  • BAL
    19.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    123.3
    Chance he plays
    68%
  • 22.9 median
    Floor (P10)
    0.0
    Ceiling (P90)
    107.2
    Chance he plays
    67%
  • JAX
    20.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    123.1
    Chance he plays
    63%
  • IND
    42.8 median
    Floor (P10)
    12.2
    Ceiling (P90)
    147.4
    Chance he plays
    45%
  • NE
    27.3 median
    Floor (P10)
    3.0
    Ceiling (P90)
    129.8
    Chance he plays
    49%
  • JAX
    21.0 median
    Floor (P10)
    0.0
    Ceiling (P90)
    104.8
    Chance he plays
    59%
  • PHI
    17.9 median
    Floor (P10)
    0.0
    Ceiling (P90)
    102.0
    Chance he plays
    64%
  • ATL
    16.2 median
    Floor (P10)
    0.0
    Ceiling (P90)
    100.2
    Chance he plays
    63%
  • 71. Ko Kieft †
    TB
    15.9 median
    Floor (P10)
    1.5
    Ceiling (P90)
    100.6
    Chance he plays
    59%
  • MIN
    18.7 median
    Floor (P10)
    0.0
    Ceiling (P90)
    122.7
    Chance he plays
    50%
  • SEA
    25.3 median
    Floor (P10)
    1.9
    Ceiling (P90)
    109.6
    Chance he plays
    48%
  • 74. Ian Thomas †
    CAR
    16.6 median
    Floor (P10)
    0.0
    Ceiling (P90)
    100.3
    Chance he plays
    48%
  • TEN
    17.1 median
    Floor (P10)
    0.0
    Ceiling (P90)
    101.4
    Chance he plays
    43%
  • 76. Robert Tonyan †
    MIN
    12.3 median
    Floor (P10)
    0.0
    Ceiling (P90)
    95.7
    Chance he plays
    37%
  • SF
    4.6 median
    Floor (P10)
    0.0
    Ceiling (P90)
    85.6
    Chance he plays
    48%
  • NYG
    19.4 median
    Floor (P10)
    0.0
    Ceiling (P90)
    103.7
    Chance he plays
    28%

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.

12 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 16 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 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 — 82% of real seasons landed inside the 80% range and 91% inside the 90% range, measured on 77 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 17 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.

2 players are listed below without a rank: ranked on this position's 2025 season board, with no projection for the 2026 season published for them.

  • © 2026 Downfield Forecast LLC
  • About
  • League audit
  • Terms
  • Privacy
  • Cookies
  • Disclaimer
  • Acceptable Use
  • Consent Preferences
  • Contact