Final: San Francisco 49ers 30, Los Angeles Rams 23.
Going in, our model had favored San Francisco 49ers at 75% win probability, and the pick won.
Out or doubtful: 1 49ers.
PICK: SF
TIER A+
PICK WONATS ✗
SF 75%
LA 25%
Model confidence: SF 75%
Our line: SF -9.0
ODDS
SPREAD
SF -7.5
MARKET SPREAD · MARKET AVG
SF -9.0
OUR LINE
MISSED
VS SPREAD
MONEYLINE
SF · OUR WIN PROBABILITY
75%
SF · MARKET WIN PROBABILITY
75%
DIFFERENCE
+0%
SOURCE
SF
LA
SF WIN %
Closing line
-340
TEAM COMPARISON2023 SEASON · EFFICIENCY, SCORING, TENDENCIES · RANK IN PARENTHESES · FULL-SEASON NUMBERS, NOT AS OF WEEK 2
+0.255Net EPA / play+0.048
+0.174 (1)Offense EPA / play+0.039 (9)
-0.082 (7)Defense EPA / play-0.009 (22)
51.1% (1)Offense success %44.7% (8)
GAME NARRATIVE
SF A+-tier pick hits. Model was directionally correct.
NAILED IT
Model projected SF by 9.0. Actual: 7 points. The model was within 2.0 points of the real margin.
INSTANT CLASSIC
The win probability swung past 50% 5 times. One of the wildest games of the week.
BAD BEAT
Missed the spread by just 0.5 points, a bad-beat loss.
Another data point for the model. A+-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.