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).
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% |
-
BUF172.1 median
- Floor (P10)
- 111.1
- Ceiling (P90)
- 240.0
- Chance he plays
- 97%
-
2. Trey McBrideARI162.4 median
- Floor (P10)
- 98.9
- Ceiling (P90)
- 224.8
- Chance he plays
- 97%
-
3. Sam LaPortaDET154.7 median
- Floor (P10)
- 83.2
- Ceiling (P90)
- 229.7
- Chance he plays
- 97%
-
4. Cole KmetCHI148.8 median
- Floor (P10)
- 76.3
- Ceiling (P90)
- 226.9
- Chance he plays
- 96%
-
5. Kyle PittsATL136.2 median
- Floor (P10)
- 79.2
- Ceiling (P90)
- 201.4
- Chance he plays
- 97%
-
6. David NjokuCLE137.8 median
- Floor (P10)
- 73.8
- Ceiling (P90)
- 209.4
- Chance he plays
- 92%
-
PHI154.5 median
- Floor (P10)
- 90.0
- Ceiling (P90)
- 215.6
- Chance he plays
- 78%
-
SF163.8 median
- Floor (P10)
- 98.0
- Ceiling (P90)
- 239.8
- Chance he plays
- 67%
-
DAL106.7 median
- Floor (P10)
- 33.5
- Ceiling (P90)
- 175.0
- Chance he plays
- 96%
-
10. Chig OkonkwoTEN93.2 median
- Floor (P10)
- 37.9
- Ceiling (P90)
- 159.8
- Chance he plays
- 97%
-
11. Dalton SchultzHOU96.1 median
- Floor (P10)
- 30.9
- Ceiling (P90)
- 168.9
- Chance he plays
- 92%
-
12. Evan EngramJAX112.5 median
- Floor (P10)
- 43.9
- Ceiling (P90)
- 184.2
- Chance he plays
- 73%
-
13. Isaiah LikelyBAL88.1 median
- Floor (P10)
- 31.1
- Ceiling (P90)
- 216.7
- Chance he plays
- 74%
-
14. Mark AndrewsBAL91.3 median
- Floor (P10)
- 37.3
- Ceiling (P90)
- 152.8
- Chance he plays
- 86%
-
15. Cade OttonTB92.5 median
- Floor (P10)
- 36.0
- Ceiling (P90)
- 221.5
- Chance he plays
- 69%
-
16. Jonnu SmithMIA84.8 median
- Floor (P10)
- 19.2
- Ceiling (P90)
- 151.3
- Chance he plays
- 86%
-
17. Tyler ConklinNYJ78.5 median
- Floor (P10)
- 16.1
- Ceiling (P90)
- 148.9
- Chance he plays
- 85%
-
18. Tucker KraftGB71.1 median
- Floor (P10)
- 15.0
- Ceiling (P90)
- 198.4
- Chance he plays
- 76%
-
19. Luke MusgraveGB69.6 median
- Floor (P10)
- 15.2
- Ceiling (P90)
- 195.1
- Chance he plays
- 76%
-
20. Pat FreiermuthPIT78.3 median
- Floor (P10)
- 20.7
- Ceiling (P90)
- 211.2
- Chance he plays
- 67%
-
21. Michael MayerLV62.3 median
- Floor (P10)
- 9.3
- Ceiling (P90)
- 189.4
- Chance he plays
- 79%
-
22. Travis KelceKC175.9 median
- Floor (P10)
- 115.9
- Ceiling (P90)
- 234.2
- Chance he plays
- 33%
-
23. Tommy TrembleCAR48.8 median
- Floor (P10)
- 5.2
- Ceiling (P90)
- 177.3
- Chance he plays
- 74%
-
24. Daniel BellingerNYG49.0 median
- Floor (P10)
- 1.0
- Ceiling (P90)
- 169.7
- Chance he plays
- 76%
-
25. Noah GrayKC49.5 median
- Floor (P10)
- 2.2
- Ceiling (P90)
- 176.5
- Chance he plays
- 69%
-
26. Brevin JordanHOU42.1 median
- Floor (P10)
- 0.6
- Ceiling (P90)
- 169.2
- Chance he plays
- 75%
-
27. Juwan JohnsonNO62.6 median
- Floor (P10)
- 10.3
- Ceiling (P90)
- 191.2
- Chance he plays
- 58%
-
28. Hunter HenryNE76.2 median
- Floor (P10)
- 20.1
- Ceiling (P90)
- 204.8
- Chance he plays
- 50%
-
29. Jeremy RuckertNYJ43.3 median
- Floor (P10)
- 12.8
- Ceiling (P90)
- 147.2
- Chance he plays
- 75%
-
30. Kylen GransonIND46.7 median
- Floor (P10)
- 0.7
- Ceiling (P90)
- 169.3
- Chance he plays
- 64%
-
31. Noah FantSEA53.3 median
- Floor (P10)
- 3.4
- Ceiling (P90)
- 169.4
- Chance he plays
- 63%
-
32. Davis AllenLAR37.7 median
- Floor (P10)
- 6.8
- Ceiling (P90)
- 142.3
- Chance he plays
- 77%
-
33. Dawson KnoxBUF51.8 median
- Floor (P10)
- 4.7
- Ceiling (P90)
- 186.9
- Chance he plays
- 59%
-
34. Elijah HigginsARI30.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 156.2
- Chance he plays
- 76%
-
35. Colby ParkinsonLAR37.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 164.9
- Chance he plays
- 68%
-
36. Connor HeywardPIT37.2 median
- Floor (P10)
- 9.9
- Ceiling (P90)
- 140.9
- Chance he plays
- 68%
-
IND39.8 median
- Floor (P10)
- 10.4
- Ceiling (P90)
- 143.6
- Chance he plays
- 69%
-
38. Adam TrautmanDEN46.2 median
- Floor (P10)
- 14.3
- Ceiling (P90)
- 150.8
- Chance he plays
- 59%
-
WAS30.8 median
- Floor (P10)
- 2.1
- Ceiling (P90)
- 134.6
- Chance he plays
- 74%
-
PIT26.5 median
- Floor (P10)
- 0.5
- Ceiling (P90)
- 130.4
- Chance he plays
- 79%
-
41. Greg DulcichDEN33.1 median
- Floor (P10)
- 6.1
- Ceiling (P90)
- 117.6
- Chance he plays
- 73%
-
42. Josh OliverMIN39.8 median
- Floor (P10)
- 8.2
- Ceiling (P90)
- 144.3
- Chance he plays
- 60%
-
43. Brenton StrangeJAX26.7 median
- Floor (P10)
- 2.2
- Ceiling (P90)
- 131.3
- Chance he plays
- 77%
-
HOU32.1 median
- Floor (P10)
- 5.1
- Ceiling (P90)
- 116.6
- Chance he plays
- 74%
-
LAR84.3 median
- Floor (P10)
- 28.5
- Ceiling (P90)
- 211.3
- Chance he plays
- 31%
-
46. Josh WhyleTEN25.8 median
- Floor (P10)
- 1.5
- Ceiling (P90)
- 130.3
- Chance he plays
- 71%
-
47. Durham SmytheMIA44.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 159.4
- Chance he plays
- 53%
-
48. Tanner HudsonCIN43.8 median
- Floor (P10)
- 0.5
- Ceiling (P90)
- 163.4
- Chance he plays
- 50%
-
49. Foster MoreauNO32.8 median
- Floor (P10)
- 4.6
- Ceiling (P90)
- 137.4
- Chance he plays
- 61%
-
50. Mike GesickiCIN31.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 157.7
- Chance he plays
- 54%
-
DEN32.7 median
- Floor (P10)
- 5.7
- Ceiling (P90)
- 117.4
- Chance he plays
- 62%
-
52. Payne DurhamTB21.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 125.4
- Chance he plays
- 75%
-
DET27.3 median
- Floor (P10)
- 1.4
- Ceiling (P90)
- 111.8
- Chance he plays
- 70%
-
54. Julian HillMIA19.8 median
- Floor (P10)
- -1.9
- Ceiling (P90)
- 123.8
- Chance he plays
- 75%
-
BUF27.1 median
- Floor (P10)
- 3.6
- Ceiling (P90)
- 111.7
- Chance he plays
- 66%
-
56. Drew SampleCIN33.9 median
- Floor (P10)
- 6.4
- Ceiling (P90)
- 138.5
- Chance he plays
- 56%
-
57. Nate AdkinsDEN28.1 median
- Floor (P10)
- 2.6
- Ceiling (P90)
- 112.6
- Chance he plays
- 70%
-
58. Drew OgletreeIND24.7 median
- Floor (P10)
- 3.2
- Ceiling (P90)
- 129.2
- Chance he plays
- 66%
-
59. John BatesWAS25.1 median
- Floor (P10)
- 2.6
- Ceiling (P90)
- 128.0
- Chance he plays
- 63%
-
60. Brock WrightDET23.5 median
- Floor (P10)
- 1.0
- Ceiling (P90)
- 127.2
- Chance he plays
- 67%
-
LAC24.0 median
- Floor (P10)
- 0.2
- Ceiling (P90)
- 128.5
- Chance he plays
- 64%
-
62. Luke SchoonmakerDAL19.9 median
- Floor (P10)
- 2.0
- Ceiling (P90)
- 122.5
- Chance he plays
- 67%
-
63. Charlie KolarBAL19.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 123.3
- Chance he plays
- 68%
-
64. Grant CalcaterraPHI22.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 107.2
- Chance he plays
- 67%
-
65. Luke FarrellJAX20.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 123.1
- Chance he plays
- 63%
-
66. Mo Alie-CoxIND42.8 median
- Floor (P10)
- 12.2
- Ceiling (P90)
- 147.4
- Chance he plays
- 45%
-
67. Austin HooperNE27.3 median
- Floor (P10)
- 3.0
- Ceiling (P90)
- 129.8
- Chance he plays
- 49%
-
68. Josiah DeguaraJAX21.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 104.8
- Chance he plays
- 59%
-
69. Jack StollPHI17.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 102.0
- Chance he plays
- 64%
-
70. Charlie WoernerATL16.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 100.2
- Chance he plays
- 63%
-
TB15.9 median
- Floor (P10)
- 1.5
- Ceiling (P90)
- 100.6
- Chance he plays
- 59%
-
72. Johnny MundtMIN18.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 122.7
- Chance he plays
- 50%
-
73. Pharaoh BrownSEA25.3 median
- Floor (P10)
- 1.9
- Ceiling (P90)
- 109.6
- Chance he plays
- 48%
-
CAR16.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 100.3
- Chance he plays
- 48%
-
75. Nick VannettTEN17.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 101.4
- Chance he plays
- 43%
-
MIN12.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 95.7
- Chance he plays
- 37%
-
77. Eric SaubertSF4.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 85.6
- Chance he plays
- 48%
-
NYG19.4 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.
- Darren Waller NYG
- T.J. Hockenson MIN