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Cardinals vs. Rays prediction: Close contest projected after new data released for Thursday's MLB matchup [8/21/2025]

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Written by Jason Bevilacqua

Get St. Louis Cardinals vs Tampa Bay Rays predictions for MLB Thursday.

St. Louis Cardinals-Tampa Bay Rays Predictions and Game Preview.
St. Louis Cardinals vs. Tampa Bay Rays MLB prediction for Thursday, August 21, 2025.

The Tampa Bay Rays and St. Louis Cardinals will meet in MLB action at George M. Steinbrenner Field on Thursday, starting at 7:35PM ET.

Joe Boyle (1-2, 4.68 ERA) will start for the Rays, while the Cardinals will counter with Sonny Gray (11-6, 4.30 ERA).

Based on the latest simulation results, Dimers' proven MLB model predicts an equal chance for both the Rays and Cardinals to win today's game.

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


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

Using powerful machine learning and data, we have simulated the result of Thursday's MLB game between the Cardinals and Rays 10,000 times as part of our MLB predictions coverage.

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

According to our model, the Rays (+1.5) have a 64% chance of covering the run line, while the over/under total of 8.5 runs has a 55% chance of staying under.

 

Cardinals vs. Rays odds [8/21/2025]

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

Bet Type Cardinals Rays
Run Line -1.5 (+145) +1.5 (-170)
Moneyline -118 +100
Total o8.5 (-105) u8.5 (-115)

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.

Cardinals vs. Rays picks and best bets

Our model's strongest edge in today's Cardinals vs. Rays matchup is on the run line.

Our expert predictions, aligned with the latest 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.

Cardinals vs. Rays game-day updates and essential details

Thursday's MLB game between the Rays and Cardinals at George M. Steinbrenner Field is scheduled to begin at 7:35PM ET.

Dimers.com's comprehensive preview of Thursday's Cardinals vs. Rays matchup includes our prediction, picks and the latest betting odds.

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

Plus, with Missouri sports betting set to launch on December 1, 2025, Dimers is your go-to source for the latest news and the best pre-registration offers in MO.

Conclusion

We predict a close game between the Cardinals and Rays on Thursday, with each team having a 50% chance of winning.

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