Going in, our model had favored Dallas Cowboys at 70% win probability, and the pick won.
Out or doubtful: 3 Giants, 1 Cowboys.
PICK: DAL
TIER B
PICK WONATS ✗
NYG 30%
DAL 70%
Model confidence: DAL 70%
Our line: DAL -7.1
ODDS
SPREAD
DAL -4.5
MARKET SPREAD · MARKET AVG
DAL -7.1
OUR LINE
MISSED
VS SPREAD
MONEYLINE
DAL · OUR WIN PROBABILITY
70%
DAL · MARKET WIN PROBABILITY
68%
DIFFERENCE
+2%
SOURCE
NYG
DAL
DAL WIN %
Closing line
+195
-238
68.3%
WIN % is each book’s odds as a win chance, with the book’s cut taken out. The card above is their average.
TEAM COMPARISON2025 SEASON · EFFICIENCY, SCORING, TENDENCIES · RANK IN PARENTHESES · FULL-SEASON NUMBERS, NOT AS OF WEEK 2
-0.075Net EPA / play-0.070
+0.012 (17)Offense EPA / play+0.097 (5)
+0.087 (25)Defense EPA / play+0.167 (32)
42.1% (25)Offense success %46.6% (6)
GAME NARRATIVE
DAL B-tier pick hits. Model was directionally correct.
CORRECT
Model correctly picked DAL. Projected margin: 7.1. Actual: 3. Off by 4.1 points but directionally right.
INSTANT CLASSIC
The win probability swung past 50% 10 times. One of the wildest games of the week.
BAD BEAT
Missed the spread by just 1.5 points, a bad-beat loss.
Another data point for the model. B-tier picks continue to track.
SITUATIONAL TRENDS
Historical splits, shown for context only. We tested them: picking the situations that beat break-even in training goes 770–760 (50.3%) out of sample, so they are not a betting signal and are not coloured like one.
Every stat on this page is free, and so is the model's pick for this game. Pro is the separate question of which games we would actually bet, and at what stake, plus player props, unit sizing, and the full profit-and-loss ledger.