Going in, our model had favored Chicago Bears at 59% win probability, and the pick won.
Out or doubtful: 1 Giants.
PICK: CHI
TIER B
PICK WONATS ✗
NYG 41%
CHI 59%
Model confidence: CHI 59%
Our line: CHI -3.0
ODDS
SPREAD
CHI -4.5
MARKET SPREAD · MARKET AVG
CHI -3.0
OUR LINE
MISSED
VS SPREAD
MONEYLINE
CHI · OUR WIN PROBABILITY
59%
CHI · MARKET WIN PROBABILITY
68%
DIFFERENCE
-9%
SOURCE
NYG
CHI
CHI WIN %
Closing line
+196
-222
67.6%
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 2
-0.086Net EPA / play-0.033
-0.056 (27)Offense EPA / play-0.028 (24)
+0.031 (16)Defense EPA / play+0.006 (10)
41.6% (27)Offense success %43.6% (22)
GAME NARRATIVE
CHI B-tier pick hits. Model was directionally correct.
NAILED IT
Model projected CHI by 3.0. Actual: 4 points. The model was within 1.0 points of the real margin.
BAD BEAT
Missed the spread by just 0.5 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.