Pro Football Week 1 Board 2026

Model lines for every game, published before kickoff. Generated 2026-08-17 by v1 (teams + starting QB, recency-weighted ridge). Lines use each team's most recent starting quarterback — early in the week that assumption can be stale, and it is shown for every game so you can judge it yourself.

Backtest vs the market (816 games, 2023-2025)
Model error 10.28 pts · closing line 9.74 pts · ATS 49.9% (breakeven 52.4%)

The market is still ahead of this model, and this site will always say so. How the model works

KickoffMatchupModel lineHome win prob
Wednesday 09-09NE @ SEASEA -7.7
72.1%
Thursday 09-10SF @ LALA -2.2
56.5%
Sunday 09-13DAL @ NYGNYG -0.6
51.8%
Sunday 09-13WAS @ PHIPHI -8.3
73.6%
Sunday 09-13GB @ MINMIN -0.8
52.3%
Sunday 09-13ARI @ LACLAC -7.7
72.0%
Sunday 09-13NYJ @ TENTEN -2
55.9%
Sunday 09-13ATL @ PITPIT -5
64.7%
Sunday 09-13MIA @ LVLV +0.2
49.5%
Sunday 09-13BAL @ INDIND +2
44.1%
Sunday 09-13BUF @ HOUHOU -0.2
50.5%
Sunday 09-13NO @ DETDET -9.4
76.2%
Sunday 09-13TB @ CINCIN -1.4
54.4%
Sunday 09-13CHI @ CARCAR +3
41.0%
Sunday 09-13CLE @ JAXJAX -8.6
74.4%
Monday 09-14DEN @ KCKC -1.5
54.6%

Power ratings

Points versus a league-average team on a neutral field. Home-field advantage: +2.25 pts.

1SEA+5.16
2BUF+4.53
3DET+3.95
4LA+3.74
5BAL+3.32
6PHI+2.85
7HOU+2.75
8GB+1.91
9DEN+1.73
10SF+1.72
11JAX+1.45
12MIN+1.28
13KC+1.13
14NE+1.02
15IND+0.75
16TB+0.64
17CHI+0.48
18LAC+0.47
19PIT+0.16
20DAL-1.29
21CIN-1.33
22MIA-1.73
23ATL-1.79
24WAS-2.06
25NO-2.15
26ARI-2.44
27NYG-3.40
28CLE-3.66
29CAR-3.84
30LV-4.64
31TEN-5.19
32NYJ-5.52

Quarterback values

Points above an average starter, estimated jointly with team ratings. Argue with the model, not with us.

Sam Darnold+2.72
Patrick Mahomes+1.67
Lamar Jackson+1.56
Drake Maye+1.36
Matthew Stafford+1.36
Joe Burrow+1.36
Jalen Hurts+1.29
Jared Goff+1.26
Brock Purdy+1.23
Derek Carr+1.23
Josh Allen+1.20
Jordan Love+1.17
Trevor Lawrence+1.13
Bo Nix+1.06
Kyler Murray+0.95
C.J. Stroud+0.90
Justin Herbert+0.74
Tua Tagovailoa+0.65
Jaxson Dart+0.60
Tyler Huntley+0.56
Aidan O'Connell+0.53
Jayden Daniels+0.52
Aaron Rodgers+0.45
Daniel Jones+0.44
J.J. McCarthy+0.33
Caleb Williams+0.24
Ryan Tannehill+0.22
Tyler Shough+0.20
Baker Mayfield+0.20
Deshaun Watson+0.16
Davis Mills+0.15
Dak Prescott+0.15
Anthony Richardson-0.15
Shedeur Sanders-0.16
Case Keenum-0.17
Tim Boyle-0.18
Mason Rudolph-0.19
Desmond Ridder-0.19
Jarrett Stidham-0.20
Malik Willis-0.29
Brandon Allen-0.29
Easton Stick-0.30
Kirk Cousins-0.32
Chris Oladokun-0.34
Bailey Zappe-0.36
Trey Lance-0.37
Tanner McKee-0.37
Clayton Tune-0.42
Carson Wentz-0.46
Joshua Dobbs-0.46
Philip Rivers-0.48
Marcus Mariota-0.50
Andy Dalton-0.52
Kenny Pickett-0.54
Jake Haener-0.60
Jameis Winston-0.63
Tommy DeVito-0.63
Bryce Young-0.71
Brady Cook-0.78
Russell Wilson-0.79
Sam Howell-0.82
Tyrod Taylor-0.92
Gardner Minshew-0.99
Quinn Ewers-1.02
Jake Browning-1.10
Joe Flacco-1.10
Cam Ward-1.40
Mac Jones-1.43
Cooper Rush-1.53
Spencer Rattler-1.53
Jacoby Brissett-1.79
Geno Smith-2.14

Model version history

VersionVerdictGap to closing line
v0 teams-onlybaseline+0.69
v1 + starting QBadopted+0.54
v2 EPA modelsrejected out-of-sampleno change
v3 rest/bye/divisionalrejected in tuningno change

Walk-forward backtest, 2023-2025 regular seasons, no lookahead. The market is the benchmark and it is still ahead.

Model outputs are published for research and entertainment. Nothing here is betting advice, and the honest record above should make clear why: this model does not currently beat the closing line. If someone tells you their model does, ask for their version history.