Final: Pittsburgh Steelers 26, New York Giants 16.
Going in, our model had favored Pittsburgh Steelers at 55% win probability, and the pick won.
Out or doubtful: 1 Steelers.
PICK: PIT
TIER B
PICK WONATS ✓
PIT 55%
NYG 45%
Model confidence: PIT 55%
Our line: PIT -1.6
ODDS
SPREAD
PIT -6.0
MARKET SPREAD · MARKET AVG
PIT -1.6
OUR LINE
COVERED
VS SPREAD
MONEYLINE
PIT · OUR WIN PROBABILITY
55%
PIT · MARKET WIN PROBABILITY
70%
DIFFERENCE
-15%
SOURCE
PIT
NYG
PIT WIN %
Closing line
-253
+221
70.3%
WIN % is each book’s odds as a win chance, with the book’s cut taken out. The card above is their average.
TEAM COMPARISON2020 SEASON · EFFICIENCY, SCORING, TENDENCIES · RANK IN PARENTHESES · FULL-SEASON NUMBERS, NOT AS OF WEEK 1
+0.128Net EPA / play-0.086
+0.010 (17)Offense EPA / play-0.056 (27)
-0.118 (2)Defense EPA / play+0.031 (16)
43.2% (25)Offense success %41.6% (27)
GAME NARRATIVE
PIT B-tier pick hits. Model was directionally correct.
CORRECT
Model correctly picked PIT. Projected margin: 1.6. Actual: 10. Off by 8.4 points but directionally right.
INSTANT CLASSIC
The win probability swung past 50% 3 times. One of the wildest games of the week.
COVERED
This pick covered the spread by 4.0 points.
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.