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Yankees vs. Orioles Prediction: Yankees Predicted to Win Tuesday's MLB Matchup [4/29/2025]

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Written by Jason Bevilacqua

Our expert prediction for Tuesday'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 Tuesday.

The Baltimore Orioles will face the New York Yankees in MLB action at Oriole Park at Camden Yards on Tuesday, beginning at 6:35PM ET.

Kyle Gibson (0-0, 0.00 ERA) will be the starting pitcher for the Orioles, up against Carlos Rodón (3-3, 3.50 ERA) for the Yankees.

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

"Our team has analyzed the latest data and conducted 10,000 simulations for Tuesday's NY Yankees-Baltimore game," said Dimers' Chief Content Officer, Nick Slade.

"By incorporating recent updates and various factors, our prediction shows the Yankees with a win probability of 58%, compared to 42% for the Orioles."

For a closer look at Tuesday'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 powerful machine learning and statistical analysis, we have simulated the result of Tuesday's MLB game between the Yankees and Orioles 10,000 times as part of our MLB predictions coverage.

Our famous predictive model currently gives the Yankees a 58% chance of defeating the Orioles.

According to our model, the Orioles (+1.5) have a 55% chance of covering the run line, while the over/under total of 9.5 runs has an equal 50-50 chance of hitting.

 

Yankees vs. Orioles Odds [4/29/2025]

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

Bet Type Yankees Orioles
Run Line -1.5 (-102) +1.5 (-105)
Moneyline -160 +142
Total o9.5 (-110) u9.5 (-102)

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 biggest edge in today's Yankees vs. Orioles matchup is on the over/under.

Our expert predictions, matched against the best odds, reveal the best MLB picks and MLB best bets for every game throughout the season.

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

Calling Our Shot's Free MLB Picks

Calling Our Shot produces daily MLB betting content, including the free picks featured below.

Yankees vs. Orioles Game-Day Updates and Essential Details

Tuesday's MLB matchup between the Orioles and Yankees at Oriole Park at Camden Yards is scheduled to begin at 6:35PM ET.

Dimers.com's full preview of Tuesday'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 Yankees, with a 58% win probability, will likely beat the Orioles on Tuesday.

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 based on 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 provide the most up-to-date probabilities 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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