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Pete Crow-Armstrong

MLB

+5.7% Edge
Latest Pick
Batter - Doubles Under 1.5 -1667 (1.06)
+5.7% Edge
Chicago Cubs @ San Francisco Giants
Oracle Park, San Francisco
Sun 14 Jun, 2:05AM
Model Probability
100.0%
Implied Probability
94.3%
Model Edge
+5.7%
Predicted Value

AI Analysis

SUBSCRIBERS

Pete Crow-Armstrong (NA) Under 1.5 Doubles (-1667)

Odds available at draftkings at time of publishing

As the San Francisco Giants host the Chicago Cubs, all eyes will be on Pete Crow-Armstrong, but betting on him to exceed 1.5 doubles feels like a gamble that just doesn’t add up. Crow-Armstrong has shown flashes of brilliance, yet facing the Giants’ pitching staff is no picnic. With a collective ERA that hangs around the low threes, and a keen ability to limit extra-base hits, the Giants create a tough environment for any hitter. Adding to the narrative, Crow-Armstrong has been hovering around a .250 batting average against lefties—an area where the Giants excel with their southpaw lineup. Despite his potential, the odds are stacked against him today, especially given that the model indicates he’s more likely to end up with a solitary two-bagger than multiple. With the odds heavily favoring the under, this is a matchup where patience pays off.

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Pick History & Track Record

Overall Hit Rate (2 picks) 100.0% (2/2)
DateMatchupMarketLinePickOdds (US)Result
05 Apr 26 Chicago Cubs @ Cleveland Guardians Batter - Hits + Runs + RBIs 1.5 Under -123 ✓ HIT
05 Apr 26 Chicago Cubs @ Cleveland Guardians Batter - Total Bases 1.5 Under -169 ✓ HIT

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About This Player

Pete Crow-Armstrong is tracked by the Bet Better model for MLB player prop betting. Across 2 settled picks, the model has hit at a rate of 100.0% (2/2). The latest model pick for Pete Crow-Armstrong is Under 1.5 on Batter - Doubles. The model identifies a moderate positive edge of +5.7% on this pick. Their next game is Chicago Cubs vs San Francisco Giants on Sunday 14 June at Oracle Park, San Francisco. Review the full pick history and AI analysis above to inform your MLB betting strategy.