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Blue Jays vs. Rays Prediction: Toronto Predicted to Win Sunday's MLB Matchup [5/25/2025]

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Written by Jason Bevilacqua

Our expert prediction for Sunday's Toronto Blue Jays vs Tampa Bay Rays matchup.

Toronto Blue Jays-Tampa Bay Rays Predictions and Game Preview.
George M. Steinbrenner Field sets the stage for the MLB matchup between the Toronto Blue Jays and Tampa Bay Rays this Sunday.

MLB action continues on Sunday at 1:40PM ET as the Toronto Blue Jays square off with the Tampa Bay Rays at George M. Steinbrenner Field.

Ryan Pepiot (2-5, 3.99 ERA) will start on the mound for the Rays, while the Blue Jays are going with Chris Bassitt (4-2, 2.83 ERA).

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

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

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

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

Rays vs. Blue Jays Prediction: Who Will Win?

Using trusted machine learning and statistical analysis, we have simulated the result of Sunday's MLB game between the Blue Jays and Rays 10,000 times as part of our MLB predictions coverage.

Our famous predictive model currently gives the Blue Jays a 51% chance of beating the Rays.

According to our model, the 9-run over/under has a 54% chance of staying under.

 

Blue Jays vs. Rays Odds [5/25/2025]

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

Bet Type Blue Jays Rays
Moneyline -104 -108
Total o9 (-110) u9 (-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. Rays Picks and Best Bets

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

Our expert predictions, matched against the current 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 Video

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

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

Sunday's MLB matchup between the Rays and Blue Jays at George M. Steinbrenner Field is scheduled to begin at 1:40PM ET.

Dimers.com's full preview of Sunday's Blue Jays vs. Rays matchup includes our prediction, picks and the latest betting odds.

Before making any Toronto vs. Tampa Bay 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 Blue Jays, with a 51% win probability, will likely beat the Rays on Sunday.

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

Keep up with the latest MLB 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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