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Blue Jays vs. Orioles Prediction: Tight Battle Projected in Updated Analysis for Monday's MLB Matchup [7/28/2025]

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Written by Jason Bevilacqua

Our expert prediction for Monday's Toronto Blue Jays vs Baltimore Orioles matchup.

Toronto Blue Jays-Baltimore Orioles Predictions and Game Preview.
Oriole Park at Camden Yards sets the stage for the MLB matchup between the Toronto Blue Jays and Baltimore Orioles this Monday.

MLB action continues on Monday at 6:35PM ET as the Toronto Blue Jays lock horns with the Baltimore Orioles at Oriole Park at Camden Yards.

Zach Eflin (6-5, 5.78 ERA) will be the starting pitcher for the Orioles, pitting him against Chris Bassitt (11-4, 3.88 ERA) for the Blue Jays.

Based on the latest simulations, Dimers' advanced MLB model (see Dimers Pro for full access) predicts an equal chance for both the Orioles and Blue Jays to win today's game.

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

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

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

Our independent predictive model can't split the two teams, giving both the Blue Jays and Orioles a 50% chance of winning the game.

According to our model, the Orioles (+1.5) have a 62% chance of covering the run line, while the over/under total of 9.5 runs has a 52% chance of staying under.

 

Blue Jays vs. Orioles Odds [7/28/2025]

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

Bet Type Blue Jays Orioles
Run Line -1.5 (+138) +1.5 (-160)
Moneyline -112 -102
Total o9.5 (-105) u9.5 (-110)

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.

Blue Jays vs. Orioles Picks and Best Bets

Our model's strongest edge in today's Blue Jays vs. Orioles matchup is on the total.

Our expert predictions, aligned with the current 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 Best Bets Video

Calling Our Shot produces daily MLB betting content, including the latest predictions featured below.

Blue Jays vs. Orioles Game-Day Updates and Essential Details

Monday's MLB matchup between the Orioles and Blue Jays at Oriole Park at Camden Yards is scheduled to commence at 6:35PM ET.

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

Before making any Blue Jays vs. Orioles picks, be sure to check out the latest MLB predictions and betting advice from Dimers Pro.

Conclusion

We predict a close game between the Blue Jays and Orioles on Monday, with each team having a 50% chance of winning.

AI and automation have enhanced this article to quickly deliver accurate Blue Jays vs. Orioles insights, with human oversight ensuring high editorial quality. Our predictions are sourced 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

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 up-to-date 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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