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).
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% |
-
1. Sam LaPortaDET183.6 median
- Floor (P10)
- 126.8
- Ceiling (P90)
- 244.3
- Chance he plays
- 96%
-
SF195.2 median
- Floor (P10)
- 139.5
- Ceiling (P90)
- 253.2
- Chance he plays
- 90%
-
BUF177.5 median
- Floor (P10)
- 123.0
- Ceiling (P90)
- 239.6
- Chance he plays
- 97%
-
4. Trey McBrideARI174.6 median
- Floor (P10)
- 121.4
- Ceiling (P90)
- 239.6
- Chance he plays
- 97%
-
5. David NjokuCLE169.1 median
- Floor (P10)
- 111.1
- Ceiling (P90)
- 229.9
- Chance he plays
- 97%
-
PHI173.6 median
- Floor (P10)
- 119.3
- Ceiling (P90)
- 232.7
- Chance he plays
- 95%
-
7. Cole KmetCHI165.7 median
- Floor (P10)
- 106.1
- Ceiling (P90)
- 227.5
- Chance he plays
- 98%
-
MIN157.4 median
- Floor (P10)
- 81.5
- Ceiling (P90)
- 235.6
- Chance he plays
- 96%
-
9. Kyle PittsATL144.6 median
- Floor (P10)
- 88.1
- Ceiling (P90)
- 207.2
- Chance he plays
- 97%
-
10. Evan EngramJAX151.9 median
- Floor (P10)
- 90.9
- Ceiling (P90)
- 203.8
- Chance he plays
- 93%
-
11. Mark AndrewsBAL140.7 median
- Floor (P10)
- 80.5
- Ceiling (P90)
- 201.9
- Chance he plays
- 97%
-
12. Jake FergusonDAL118.1 median
- Floor (P10)
- 61.4
- Ceiling (P90)
- 181.5
- Chance he plays
- 98%
-
13. Chig OkonkwoTEN112.0 median
- Floor (P10)
- 58.7
- Ceiling (P90)
- 179.3
- Chance he plays
- 97%
-
14. Travis KelceKC173.3 median
- Floor (P10)
- 114.9
- Ceiling (P90)
- 235.0
- Chance he plays
- 62%
-
15. Dalton SchultzHOU109.6 median
- Floor (P10)
- 50.1
- Ceiling (P90)
- 172.1
- Chance he plays
- 97%
-
NYG110.6 median
- Floor (P10)
- 41.3
- Ceiling (P90)
- 181.8
- Chance he plays
- 86%
-
17. Tyler ConklinNYJ94.2 median
- Floor (P10)
- 37.6
- Ceiling (P90)
- 151.9
- Chance he plays
- 97%
-
18. Cade OttonTB97.6 median
- Floor (P10)
- 34.8
- Ceiling (P90)
- 212.1
- Chance he plays
- 78%
-
19. Isaiah LikelyBAL92.2 median
- Floor (P10)
- 29.2
- Ceiling (P90)
- 206.7
- Chance he plays
- 79%
-
20. Jonnu SmithMIA82.8 median
- Floor (P10)
- 25.2
- Ceiling (P90)
- 136.4
- Chance he plays
- 97%
-
21. Pat FreiermuthPIT84.0 median
- Floor (P10)
- 24.9
- Ceiling (P90)
- 202.5
- Chance he plays
- 77%
-
22. Tucker KraftGB71.8 median
- Floor (P10)
- 15.1
- Ceiling (P90)
- 185.7
- Chance he plays
- 80%
-
23. Luke MusgraveGB70.4 median
- Floor (P10)
- 14.9
- Ceiling (P90)
- 181.8
- Chance he plays
- 80%
-
24. Hunter HenryNE82.3 median
- Floor (P10)
- 19.5
- Ceiling (P90)
- 196.8
- Chance he plays
- 68%
-
25. Michael MayerLV63.3 median
- Floor (P10)
- 7.0
- Ceiling (P90)
- 177.1
- Chance he plays
- 81%
-
26. Juwan JohnsonNO67.8 median
- Floor (P10)
- 9.3
- Ceiling (P90)
- 182.3
- Chance he plays
- 72%
-
27. Tommy TrembleCAR51.6 median
- Floor (P10)
- 4.7
- Ceiling (P90)
- 166.1
- Chance he plays
- 79%
-
28. Dawson KnoxBUF58.4 median
- Floor (P10)
- 5.5
- Ceiling (P90)
- 178.6
- Chance he plays
- 73%
-
29. Noah GrayKC53.6 median
- Floor (P10)
- 1.8
- Ceiling (P90)
- 167.3
- Chance he plays
- 78%
-
30. Daniel BellingerNYG50.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 156.5
- Chance he plays
- 80%
-
31. Kylen GransonIND51.8 median
- Floor (P10)
- 0.2
- Ceiling (P90)
- 161.1
- Chance he plays
- 76%
-
32. Brevin JordanHOU43.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 157.0
- Chance he plays
- 80%
-
33. Noah FantSEA54.6 median
- Floor (P10)
- 2.5
- Ceiling (P90)
- 158.5
- Chance he plays
- 75%
-
34. Jeremy RuckertNYJ46.5 median
- Floor (P10)
- 14.5
- Ceiling (P90)
- 134.3
- Chance he plays
- 80%
-
IND47.6 median
- Floor (P10)
- 15.8
- Ceiling (P90)
- 135.2
- Chance he plays
- 75%
-
36. Davis AllenLAR41.3 median
- Floor (P10)
- 8.4
- Ceiling (P90)
- 131.6
- Chance he plays
- 80%
-
37. Colby ParkinsonLAR41.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 154.3
- Chance he plays
- 77%
-
38. Durham SmytheMIA50.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 153.6
- Chance he plays
- 70%
-
39. Tanner HudsonCIN49.8 median
- Floor (P10)
- 0.1
- Ceiling (P90)
- 156.2
- Chance he plays
- 68%
-
40. Connor HeywardPIT43.8 median
- Floor (P10)
- 12.1
- Ceiling (P90)
- 130.7
- Chance he plays
- 77%
-
41. Josh OliverMIN42.2 median
- Floor (P10)
- 8.2
- Ceiling (P90)
- 131.7
- Chance he plays
- 74%
-
42. Elijah HigginsARI31.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 143.3
- Chance he plays
- 80%
-
43. Drew SampleCIN39.7 median
- Floor (P10)
- 8.6
- Ceiling (P90)
- 130.4
- Chance he plays
- 72%
-
WAS36.4 median
- Floor (P10)
- 4.5
- Ceiling (P90)
- 124.2
- Chance he plays
- 78%
-
LAR69.4 median
- Floor (P10)
- 13.9
- Ceiling (P90)
- 181.6
- Chance he plays
- 46%
-
46. Josh WhyleTEN32.8 median
- Floor (P10)
- 3.6
- Ceiling (P90)
- 123.1
- Chance he plays
- 78%
-
47. Mike GesickiCIN35.2 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 147.6
- Chance he plays
- 71%
-
48. Foster MoreauNO37.1 median
- Floor (P10)
- 5.5
- Ceiling (P90)
- 126.3
- Chance he plays
- 74%
-
49. Drew OgletreeIND32.5 median
- Floor (P10)
- 6.1
- Ceiling (P90)
- 123.3
- Chance he plays
- 76%
-
50. Adam TrautmanDEN29.6 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 143.5
- Chance he plays
- 73%
-
PIT29.4 median
- Floor (P10)
- 0.4
- Ceiling (P90)
- 116.9
- Chance he plays
- 81%
-
52. Brenton StrangeJAX28.6 median
- Floor (P10)
- 1.9
- Ceiling (P90)
- 118.8
- Chance he plays
- 80%
-
53. Austin HooperNE37.8 median
- Floor (P10)
- 7.8
- Ceiling (P90)
- 123.5
- Chance he plays
- 68%
-
LAC30.6 median
- Floor (P10)
- 2.5
- Ceiling (P90)
- 120.3
- Chance he plays
- 72%
-
55. Greg DulcichDEN27.5 median
- Floor (P10)
- 4.5
- Ceiling (P90)
- 101.6
- Chance he plays
- 79%
-
56. John BatesWAS30.1 median
- Floor (P10)
- 2.1
- Ceiling (P90)
- 116.2
- Chance he plays
- 75%
-
57. Brock WrightDET28.4 median
- Floor (P10)
- 2.3
- Ceiling (P90)
- 118.1
- Chance he plays
- 77%
-
58. Luke SchoonmakerDAL25.4 median
- Floor (P10)
- 3.5
- Ceiling (P90)
- 114.4
- Chance he plays
- 77%
-
59. Payne DurhamTB26.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 113.9
- Chance he plays
- 80%
-
HOU27.3 median
- Floor (P10)
- 4.3
- Ceiling (P90)
- 101.4
- Chance he plays
- 78%
-
61. Julian HillMIA23.9 median
- Floor (P10)
- -2.0
- Ceiling (P90)
- 111.4
- Chance he plays
- 80%
-
62. Charlie KolarBAL23.4 median
- Floor (P10)
- 0.1
- Ceiling (P90)
- 112.9
- Chance he plays
- 77%
-
63. Nate AdkinsDEN24.1 median
- Floor (P10)
- 2.1
- Ceiling (P90)
- 98.2
- Chance he plays
- 78%
-
64. Luke FarrellJAX24.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 110.4
- Chance he plays
- 75%
-
65. Johnny MundtMIN26.7 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 114.5
- Chance he plays
- 68%
-
DEN22.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 111.8
- Chance he plays
- 70%
-
DET24.0 median
- Floor (P10)
- 2.0
- Ceiling (P90)
- 98.1
- Chance he plays
- 75%
-
68. Mo Alie-CoxIND25.7 median
- Floor (P10)
- 3.6
- Ceiling (P90)
- 115.2
- Chance he plays
- 66%
-
69. Grant CalcaterraPHI18.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 92.4
- Chance he plays
- 77%
-
BUF21.7 median
- Floor (P10)
- 3.9
- Ceiling (P90)
- 96.1
- Chance he plays
- 73%
-
71. Pharaoh BrownSEA21.2 median
- Floor (P10)
- -1.7
- Ceiling (P90)
- 108.4
- Chance he plays
- 67%
-
72. Josiah DeguaraJAX15.8 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 89.4
- Chance he plays
- 73%
-
73. Jack StollPHI13.0 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 86.9
- Chance he plays
- 75%
-
TB12.2 median
- Floor (P10)
- 2.4
- Ceiling (P90)
- 86.1
- Chance he plays
- 69%
-
75. Charlie WoernerATL8.4 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 82.0
- Chance he plays
- 75%
-
CAR12.1 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 84.7
- Chance he plays
- 61%
-
MIN16.9 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 89.5
- Chance he plays
- 52%
-
NYG13.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 87.2
- Chance he plays
- 43%
-
79. Nick VannettTEN2.3 median
- Floor (P10)
- 0.0
- Ceiling (P90)
- 72.4
- Chance he plays
- 64%
-
80. Eric SaubertSF2.7 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.