Going in, our model had favored San Francisco 49ers at 60% win probability, and the pick won.
Out or doubtful: 3 49ers, 1 Lions.
PICK: SF
TIER B
PICK WONATS ✗
SF 60%
DET 40%
Model confidence: SF 60%
Our line: SF -3.5
ODDS
SPREAD
SF -9.5
MARKET SPREAD · MARKET AVG
SF -3.5
OUR LINE
MISSED
VS SPREAD
MONEYLINE
SF · OUR WIN PROBABILITY
60%
SF · MARKET WIN PROBABILITY
79%
DIFFERENCE
-19%
SOURCE
SF
DET
SF WIN %
Closing line
-415
+344
79.0%
WIN % is each book’s odds as a win chance, with the book’s cut taken out. The card above is their average.
TEAM COMPARISON2021 SEASON · EFFICIENCY, SCORING, TENDENCIES · RANK IN PARENTHESES · FULL-SEASON NUMBERS, NOT AS OF WEEK 1
+0.120Net EPA / play-0.161
+0.087 (7)Offense EPA / play-0.063 (23)
-0.034 (8)Defense EPA / play+0.098 (30)
45.7% (12)Offense success %42.0% (22)
GAME NARRATIVE
SF B-tier pick hits. Model was directionally correct.
CORRECT
Model correctly picked SF. Projected margin: 3.5. Actual: 8. Off by 4.5 points but directionally right.
INSTANT CLASSIC
The win probability swung past 50% 3 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.
SF
Divisional 2-4 ATS (33%)
DET
Home Underdog 5-2 ATS (71%)Divisional 3-2 ATS (60%)
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.