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Yankees vs. Orioles Prediction: Baltimore Predicted to Win Wednesday's MLB Matchup [4/30/2025]

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Written by Jason Bevilacqua

Our expert prediction for Wednesday's New York Yankees vs Baltimore Orioles matchup.

New York Yankees-Baltimore Orioles Predictions and Game Preview.
Oriole Park at Camden Yards sets the stage for the MLB matchup between the New York Yankees and Baltimore Orioles this Wednesday.

The Baltimore Orioles will face the New York Yankees, in what is expected to be a tight MLB game, at Oriole Park at Camden Yards on Wednesday, beginning at 6:35PM ET.

Cade Povich (1-2, 5.04 ERA) will be the starting pitcher for the Orioles, while the Yankees have opted for Carlos Carrasco (2-1, 5.26 ERA).

Based on the latest simulation results, Dimers' advanced MLB model (see Dimers Pro for full access) projects the Orioles as the most likely winner of today's game.

"Our team has simulated the outcome of Wednesday's NY Yankees-Baltimore game 10,000 times," said Dimers' Chief Content Officer, Nick Slade.

"With the latest updates and numerous other variables, we estimate the Orioles' chance of winning at 52%, with the Yankees at 48%."

For expanded analysis of Wednesday's matchup, including best bets and picks, visit our interactive Yankees vs. Orioles predictions page.

Orioles vs. Yankees Prediction: Who Will Win, Cover the Run Line?

Using innovative machine learning and data, we have simulated the outcome of Wednesday's MLB matchup between the Yankees and Orioles 10,000 times as part of our MLB predictions coverage.

Our leading predictive model gives the Orioles a 52% chance of defeating the Yankees.

According to our model, the Orioles (+1.5) have a 64% chance of covering the run line, while the 9.5-run over/under has a 51% chance of staying under.

 

Yankees vs. Orioles Odds [4/30/2025]

We have researched the best MLB odds in America for this game, which are listed here:

Bet Type Yankees Orioles
Run Line -1.5 (+155) +1.5 (-185)
Moneyline +108 -120
Total o9.5 (-102) u9.5 (-110)

All odds are correct at the time of publication and are subject to change.

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Yankees vs. Orioles Picks and Best Bets

Our model's strongest edge in today's Yankees vs. Orioles matchup is on the moneyline.

Our expert predictions, aligned with the latest odds, reveal the best MLB picks and MLB best bets for every game throughout the season.

Unlimited access to our complete set of picks, including this one, is available via Dimers Pro.

Calling Our Shot's Free ⚾️ Picks

Calling Our Shot produces daily MLB betting content, including the best bets featured below.

Yankees vs. Orioles Game-Day Updates and Essential Details

Wednesday's MLB game between the Orioles and Yankees at Oriole Park at Camden Yards is scheduled to start at 6:35PM ET.

Dimers.com's full preview of Wednesday's Yankees vs. Orioles matchup includes our prediction, picks and the latest betting odds.

Before making any NY Yankees vs. Baltimore picks, be sure to check out the latest MLB predictions and betting advice from Dimers Pro.

Key MLB Betting Guides and Insights

Conclusion

We predict the Orioles, with a 52% win probability, will likely beat the Yankees on Wednesday.

AI and automation have enhanced this article to quickly deliver accurate Yankees vs. Orioles insights, with human oversight ensuring high editorial quality. Our predictions are sourced from up-to-date data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

More on MLB

Stay up-to-date with the latest MLB betting news and MLB parlay picks throughout the season. Plus, our World Series odds offer the most accurate projections for the World Series, American League, National League and each division.

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Written by
Jason Bevilacqua
Head of Content and Communities

Jason Bevilacqua, an expert in MLB, NHL, NBA, MLS, and NFL, delivers game previews, best bets, and props. Since 2020, as Head of Social and Community at Dimers, he has contributed insightful articles utilizing data-driven models and simulations.

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