| Player ⇅ | Pos ⇅ | Matchup ⇅ | Dep ⇅ | Proj ⇅ | p10–p90 ⇅ | Att ⇅ | TD% ⇅ |
|---|---|---|---|---|---|---|---|
| Jared Goff DET @ MIA | QB | DET vs MIA | 1 | 298.4 | 36.2 | 7% | |
| Matthew Stafford LA @ WAS | QB | LA vs WAS | 1 | 275.8 | 37.5 | 3% | |
| Drake Maye NE vs GB | QB | NE vs GB | 1 | 275.2 | 29.7 | 18% | |
| Jordan Love GB @ NE | QB | GB vs NE | 1 | 272.5 | 36.1 | 8% | |
| Joe Burrow CHART CIN @ ATL | QB | CIN vs ATL | 1 | 268.3 | 35.1 | 14% | |
| Dak Prescott DAL @ IND | QB | DAL vs IND | 1 | 264.6 | 37.4 | 16% | |
| Joe Flacco CIN @ ATL | QB | CIN vs ATL | 2 | 245.1 | 40.3 | 5% | |
| Michael Penix Jr. ATL vs CIN | QB | ATL vs CIN | 1 | 225.5 | 31.0 | 10% | |
| Daniel Jones IND vs DAL | QB | IND vs DAL | 1 | 221.1 | 33.6 | 13% | |
| Riley Leonard IND vs DAL | QB | IND vs DAL | 3 | 207.5 | 31.0 | 10% | |
| Tua Tagovailoa ATL vs CIN | QB | ATL vs CIN | 2 | 190.0 | 27.8 | ||
| Jayden Daniels CHART WAS vs LA | QB | WAS vs LA | 1 | 188.1 | 27.2 | 19% | |
| Athan Kaliakmanis CHART WAS vs LA | QB | WAS vs LA | 3 | 186.0 | 32.1 | 13% | |
| Andy Dalton ATL vs CIN | QB | ATL vs CIN | 3 | 175.0 | 28.9 | ||
| Malik Willis MIA vs DET | QB | MIA vs DET | 1 | 174.7 | 20.5 | 22% | |
| Marcus Mariota WAS vs LA | QB | WAS vs LA | 2 | 169.8 | 23.8 | 9% | |
| Tyrod Taylor GB @ NE | QB | GB vs NE | 2 | 154.6 | 26.2 | 5% | |
| Josh Johnson CIN @ ATL | QB | CIN vs ATL | 124.0 | 16.9 | 7% | ||
| Jack Strand ATL vs CIN | QB | ATL vs CIN | 4 | 59.0 | 15.6 | 13% | |
| Joshua Dobbs DET @ MIA | QB | DET vs MIA | 2 | 16.2 | 2.3 | 7% | |
| Anthony Richardson IND vs DAL | QB | IND vs DAL | 2 | 9.0 | 0.9 | 20% |
No market lines on this page, by construction. The saved line file carries no week, so pricing next week's projections against it would attach this week's numbers to them. Nothing here is a bet signal — it is where the model expects the workload to be before the market has an opinion.
No game line yet for ARI, ATL, BAL, BUF, CAR, CHI, CIN, CLE, DAL, DEN, DET, GB, HOU, IND, JAX, KC, LA, LAC, LV, MIA, MIN, NE, NO, NYG, NYJ, PHI, SEA, SF, TB, WAS — the schedule carries no spread or total for those games, so their touchdown numbers are levelled to an average game environment (22.63 implied points) rather than to their own. Volume and yardage are unaffected; treat the TD% column for those teams as a placeholder.
Injury reports for this week are not published yet, so every projection here assumes availability. Why that matters
Projections only, not advice. How this works →