Fantasy Football · Week 1
Week 1 Tight Ends
| Note | |||
|---|---|---|---|
| Tier 1 | |||
| 1new to this list | George Kittle | SF | vs LAR |
| 2new to this list | Trey McBride | ARI | vs LAC |
| 3new to this list | Tucker Kraft | GB | vs MIN |
| 4new to this list | Colston Loveland | CHI | vs CAR |
| Tier 2 | |||
| 5new to this list | Hunter Henry | NE | vs SEA |
| 6new to this list | Sam LaPorta | DET | vs NO |
| 7new to this list | Tyler Warren | IND | vs BAL |
| 8new to this list | Dallas Goedert | PHI | vs WAS |
| 9new to this list | Travis Kelce | KC | vs DEN |
| 10new to this list | Colby Parkinson | LAR | vs SF |
| Tier 3 | |||
| 11new to this list | Juwan Johnson | NO | vs DET |
| 12new to this list | Jake Tonges | SF | vs LAR |
| 13new to this list | Dalton Kincaid | BUF | vs HOU |
| 14new to this list | Kyle Pitts | ATL | vs PIT |
| 15new to this list | Harold Fannin | CLE | vs JAX |
| 16new to this list | AJ Barner | SEA | vs NE |
| Tier 4 | |||
| 17new to this list | Mark Andrews | BAL | vs IND |
| 18new to this list | Brenton Strange | JAX | vs CLE |
| 19new to this list | Dalton Schultz | HOU | vs BUF |
| 20new to this list | Jake Ferguson | DAL | vs NYG |
| 21new to this list | Michael Mayer | LV | vs MIA |
| Tier 5 | |||
| 22new to this list | Cade Otton | TB | vs CIN |
| 23new to this list | Tyler Higbee | LAR | vs SF |
| 24new to this list | Isaiah Likely | NYG | vs DAL |
| 25new to this list | Pat Freiermuth | PIT | vs ATL |
| 26new to this list | Darren Waller | CAR | vs CHI |
| Tier 6 | |||
| 27new to this list | T.J. Hockenson | MIN | vs GB |
| 28new to this list | Greg Dulcich | MIA | vs LV |
| 29new to this list | Chig Okonkwo | WAS | vs PHI |
| 30new to this list | Terrance Ferguson | LAR | vs SF |
| 31new to this list | Mike Gesicki | CIN | vs TB |
| 32new to this list | Evan Engram | DEN | vs KC |
Source: Model run 2026-09-12, Standard. Volume and efficiency from each player's 2026 games to date (nflverse), adjusted for team-mates ruled out on the official injury report, the point spread's effect on run/pass mix, forecast wind, the roof, and home field. Quarterbacks are a 50/50 blend of that model and a gradient-boosted forest trained on three seasons. Backtested on 2024 and 2025: it beats every simple baseline at all four positions. Early in a season it leans on last year, which fades within a game or two. It orders players; it does not predict their exact scores, and nobody's does. VEGAS IS IN THIS LIST: 25 of the 32 players here had a betting line, and for them the projection leans mostly on it. The model-only version is scored against this one every week on the scorecard. MODEL OUTPUT, NOT YET REVIEWED. Generated by the model and published so it can be read and argued with — Reynold has not gone through it line by line and has not overridden anything.