Going in, our model had favored Cincinnati Bengals at 70% win probability, and the pick lost.
Out or doubtful: 1 Bengals.
PICK: CIN
TIER B
PICK LOSTATS ✗
CIN 70%
CLE 30%
Model confidence: CIN 70%
Our line: CIN -7.1
ODDS
SPREAD
CIN -1.0
MARKET SPREAD · MARKET AVG
CIN -7.1
OUR LINE
MISSED
VS SPREAD
MONEYLINE
CIN · OUR WIN PROBABILITY
70%
CIN · MARKET WIN PROBABILITY
50%
DIFFERENCE
+20%
SOURCE
CIN
CLE
CIN WIN %
Closing line
-112
-108
50.5%
TEAM COMPARISON2023 SEASON · EFFICIENCY, SCORING, TENDENCIES · RANK IN PARENTHESES · FULL-SEASON NUMBERS, NOT AS OF WEEK 1
-0.044Net EPA / play+0.045
-0.010 (12)Offense EPA / play-0.141 (28)
+0.034 (28)Defense EPA / play-0.186 (1)
44.0% (10)Offense success %38.9% (29)
GAME NARRATIVE
CIN B-tier pick misses. CLE takes it.
MISSED
Model picked CIN but CLE won. Projected margin was 7.1, the model overestimated by 28.1 points.
ATS MISS
Missed the spread by 22.0 points.
Every model misses. The edge comes from the aggregate, not any single game.
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.