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Red Sox vs. Rays prediction: Why Boston is favored to win Sunday's MLB matchup [9/21/2025]

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Written by Jason Bevilacqua

Get Boston Red Sox vs Tampa Bay Rays predictions for MLB Sunday.

Boston Red Sox-Tampa Bay Rays Predictions and Game Preview.
Boston Red Sox vs. Tampa Bay Rays MLB prediction for Sunday, September 21, 2025.

The Tampa Bay Rays and Boston redsox will meet in MLB action at George M. Steinbrenner Field on Sunday, starting at 7:35PM ET.

The Rays will send Joe Boyle (1-3, 4.64 ERA) to the mound, up against Connelly Early (1-0, 0.87 ERA) for the Red Sox.

Based on updated simulation results, Dimers' advanced MLB model predicts the Red Sox as the most likely winner of today's game.

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

"After accounting for recent updates and other variables, our prediction shows the Red Sox with a win probability of 54%, while the Rays have 46%."

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

Rays vs. Red Sox prediction: Who will win, cover the run line?

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

Our leading predictive model currently gives the Red Sox a 54% chance of beating the Rays.

According to our model, the Rays (+1.5) have a 59% chance of covering the run line, while the over/under total of 7.5 runs has a 51% chance of going over.

 

Red Sox vs. Rays odds [9/21/2025]

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

Bet Type Red Sox Rays
Run Line -1.5 (+130) +1.5 (-155)
Moneyline -130 +110
Total o7.5 (+100) u7.5 (-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.

Red Sox vs. Rays picks and best bets

Our model's biggest edge in today's Red Sox vs. Rays matchup is on the run line.

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 full 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 latest predictions featured below.

Red Sox vs. Rays game-day updates and essential details

Sunday's MLB action between the Rays and Red Sox at George M. Steinbrenner Field is scheduled to begin at 7:35PM ET.

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

Before making any Red Sox vs. Rays picks, be sure to check out the latest MLB predictions and betting advice from Dimers Pro.

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Conclusion

We predict the Red Sox, with a 54% win probability, will likely beat the Rays on Sunday.

AI and automation have enhanced this article to quickly deliver accurate Red Sox vs. Rays 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 betting news and MLB parlay picks throughout the season. Plus, our World Series odds provide the most accurate 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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