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Rays vs Orioles Prediction and MLB Tips - 20 July 2025

The Tampa Bay Rays will sqaure off with the Baltimore Orioles in MLB action at George M. Steinbrenner Field on Sunday, starting at 9:05am AEST.

Zack Littell (8-7, 3.56 ERA) will start for the Rays, pitting him against Dean Kremer (8-7, 4.24 ERA) for the Orioles.

This article features Stats Insider's prediction and tips for the Rays vs Orioles game, along with the latest betting odds in Australia.

Who Will Win?

Based on trusted machine learning and data, Stats Insider has simulated the result of Sunday's Tampa Bay vs Baltimore MLB match-up 10,000 times.

Our proven predictive analytics model currently gives the Rays a 54% chance of winning against the Orioles at George M. Steinbrenner Field.

Rays vs Orioles: Odds

The latest betting odds in Australia for Sunday's MLB game at George M. Steinbrenner Field are listed below:

  • Head to Head: Rays $1.77, Orioles $2.10
  • Line: Rays -1.5 ($2.60), Orioles +1.5 ($1.53)
  • Total (Over/Under 9 Runs): Over $1.91, Under $1.91

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

Looking at the latest head-to-head odds, the bookmakers currently have the Rays at $1.77 and the Orioles at $2.10.

The Rays are 1.5-run favourites against the Orioles, with odds of $2.60 available at TAB.

For the underdog Orioles (+1.5) to cover the line, TAB offers odds of $1.53.

The over/under for total runs scored is set at 9 with TAB, which has odds of $1.91 for the over and $1.91 for the under.

According to Stats Insider's model, the Orioles (+1.5) are predicted to cover the line 64% of the time, while the 9-run over/under is expected to stay under 58% of the time.

Rays vs Orioles: Best Bets

  • Head to Head: Baltimore at $2.10 with TAB
  • Line: Orioles +1.5 at $1.53 with TAB
  • Total Runs: Under 9 at $1.91 with TAB

Today's Rays vs Orioles betting tips are based on complex simulations and gambling expertise to help you place better bets with your chosen online bookie.

While the Rays have a higher chance of winning the game, betting on the Orioles to win is our preferred option because of the edge identified when comparing our data-driven probabilities to the odds currently on offer.

Making use of the edges seen on Stats Insider is pivotal to being profitable in the long run.

Rays vs Orioles: Prediction

Stats Insider provides full coverage of the Tampa Bay vs Baltimore game on Sunday, including data-driven predictions and live win probabilitiestips.

Remember, our model updates regularly, so refresh this page for the latest betting analysis before the Tampa Bay vs Baltimore game.

As always, see our Best Bets for betting tips for every MLB game, plus predictions for a wide range of other sports.

Rays vs Orioles: Essential Details

The game between the Rays and Orioles at George M. Steinbrenner Field is scheduled to start at 9:05am AEST on Sunday.

All dates and times mentioned in this article are in Australian Eastern Standard Time (AEST), unless otherwise stated.

Conclusion

Our Tampa Bay vs Baltimore predictions have been made after running 10,000 data-driven simulations of the game, carefully curated by our team of skilled data scientists and analysts. We use cutting-edge technology and machine learning to ensure our MLB tips are accurate and reliable, giving you the confidence to make informed decisions.

If you choose to use our MLB predictions for betting purposes, it's important to gamble responsibly and manage your finances effectively. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

More on MLB

Stats Insider is your home for betting on the MLB in Australia, with the latest MLB betting news, predictions for every MLB game, and futures odds for the MLB.

Stats Insider

Stats Insider, Australia's leading predictive analytics website, offers Australian sports fans innovative tools and content to enhance their enjoyment of major sporting events both domestically and internationally. Our goal is to transform the sports fan experience by providing readily accessible, data-driven content for sports enthusiasts like us.

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