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Orioles vs Rays Prediction and MLB Tips - 30 June 2025

The Baltimore Orioles will face the Tampa Bay Rays in MLB action at Oriole Park at Camden Yards on Monday, starting at 3:35am AEST.

Dean Kremer (6-7, 4.60 ERA) will start on the mound for the Orioles, up against Taj Bradley (5-5, 4.57 ERA) for the Rays.

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

Who Will Win?

Using trusted computer power and data, Stats Insider has simulated the outcome of Monday's Baltimore vs Tampa Bay MLB match-up 10,000 times.

Our leading predictive analytics model gives the Orioles a 51% chance of beating the Rays at Oriole Park at Camden Yards.

Orioles vs Rays: Odds

The current betting odds in Australia for Monday's MLB game at Oriole Park at Camden Yards are listed below:

  • Head to Head: Orioles $1.83, Rays $2.00
  • Line: Orioles -1.5 ($2.65), Rays +1.5 ($1.50)
  • Total (Over/Under 9.5 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 Orioles at $1.83 and the Rays at $2.00.

The Orioles are listed as 1.5-run favourites against the Rays, with odds of $2.65 available at TAB.

For the underdog Rays (+1.5) to cover the line, TAB offers odds of $1.50.

The over/under for total runs scored is set at 9.5 with TAB, which has odds of $1.91 for the over and $1.91 for the under.

According to Stats Insider's model, the Rays (+1.5) are predicted to cover the line 66% of the time, while the 9.5-run over/under is expected to stay under 56% of the time.

Orioles vs Rays: Betting Tips

  • Head to Head: Tampa Bay at $2.00 with TAB
  • Line: Rays +1.5 at $1.50 with TAB
  • Total Runs: Under 9.5 at $1.91 with TAB

These Orioles vs Rays predictions are based on market-leading modelling and wagering experience to give you the best possible advice every day of the year.

While the Orioles have a higher chance of winning the game, betting on the Rays to win is our recommended option due to the 1.2% edge found when comparing our data-driven probabilities to the odds currently available.

Making use of the edges published here at Stats Insider is one of the keys to achieving long-term profitability.

Orioles vs Rays: Prediction

Stats Insider provides full betting coverage of the Baltimore vs Tampa Bay game on Monday, including data-driven predictions and top betting tips.

Our model updates regularly, so bookmark this article for the latest betting tips before the Baltimore vs Tampa Bay game.

As always, see Stats Insider's Best Bets to get betting tips on every MLB game, plus predictions for a wide range of other sports.

Orioles vs Rays: Essential Details

The game between the Orioles and Rays at Oriole Park at Camden Yards is scheduled to commence at 3:35am AEST on Monday.

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

Conclusion

Our Baltimore vs Tampa Bay predictions have been made after running 10,000 data-driven simulations of the game, carefully curated by our team of experienced data scientists and analysts. We use the latest in predictive analytics 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 that you gamble responsibly and know when to stop. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

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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 probabilities 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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