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Rays vs. Orioles Prediction: Baltimore Predicted to Win Sunday's MLB Matchup [6/29/2025]

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Written by Jason Bevilacqua

Our expert prediction for Sunday's Tampa Bay Rays vs Baltimore Orioles matchup.

Tampa Bay Rays-Baltimore Orioles Predictions and Game Preview.
Oriole Park at Camden Yards sets the stage for the MLB matchup between the Tampa Bay Rays and Baltimore Orioles this Sunday.

The Baltimore Orioles will face the Tampa Bay Rays, in what is expected to be a tight MLB game, at Oriole Park at Camden Yards on Sunday, beginning at 1:35PM ET.

The Orioles will send Dean Kremer (6-7, 4.60 ERA) to the mound, while the Rays will counter with Taj Bradley (5-5, 4.57 ERA).

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

"Using the most recent data, our experts ran 10,000 simulations of Sunday's Rays-Orioles game," said Dimers' Chief Content Officer, Nick Slade.

"After accounting for recent updates and other variables, our prediction shows the Orioles with a win probability of 51%, while the Rays have 49%."

For further insights into Sunday's matchup, including best bets and picks, visit our interactive Rays vs. Orioles predictions page.

Orioles vs. Rays Prediction: Who Will Win?

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

Our leading predictive model currently gives the Orioles a 51% chance of defeating the Rays.

According to our model, the over/under total of 9.5 runs has a 54% chance of staying under.

 

Rays vs. Orioles Odds [6/29/2025]

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

Bet Type Rays Orioles
Moneyline -102 -116
Total o9.5 (+100) u9.5 (-119)

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

Make the most of your sports betting experience by exploring our comprehensive list of US betting apps, and the latest sportsbooks in 2025, ensuring you never miss a top new-user deal.

Rays vs. Orioles Picks and Best Bets

Our model's biggest edge in today's Rays vs. Orioles matchup is on the moneyline.

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 Best Bets Today

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

Rays vs. Orioles Game-Day Updates and Essential Details

Sunday's MLB game between the Orioles and Rays at Oriole Park at Camden Yards is scheduled to start at 1:35PM ET.

Dimers.com's in-depth preview of Sunday's Rays vs. Orioles matchup includes our prediction, picks and the latest betting odds.

Before making any Rays vs. Orioles 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 51% win probability, will likely beat the Rays on Sunday.

AI and automation have enhanced this article to quickly deliver accurate Rays vs. Orioles insights, with human oversight ensuring high editorial quality. Our predictions are drawn from the latest 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

Keep up with the latest MLB news and MLB parlay picks throughout the season. Plus, our World Series odds offer the latest 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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