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Red Sox vs Rays Prediction and MLB Tips - 12 July 2025

The Boston Red Sox will sqaure off with the Tampa Bay Rays in MLB action at Fenway Park on Saturday, commencing at 9:10am AEST.

Hunter Dobbins (4-1, 4.10 ERA) will start on the mound for the Red Sox, pitting him against Drew Rasmussen (7-5, 2.82 ERA) for the Rays.

This article features Stats Insider's prediction and tips for the Red Sox vs Rays game, plus the latest betting odds in Australia.

Who Will Win?

Using advanced computer power and data, Stats Insider has simulated the result of Saturday's Boston vs Tampa Bay MLB match-up 10,000 times.

Our leading predictive analytics model currently gives the Rays a 52% chance of beating the Red Sox at Fenway Park.

Red Sox vs Rays: Odds

The current betting odds in Australia for Saturday's MLB game at Fenway Park are listed here:

  • Head to Head: Red Sox $1.98, Rays $1.79
  • Line: Red Sox +1.5 ($1.60), Rays -1.5 ($2.29)
  • 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 Red Sox at $1.98 and the Rays at $1.79.

The Red Sox are 1.5-run underdogs against the Rays, with odds of $1.60 available at TAB.

For the favourite Rays (-1.5) to cover the line, TAB offers odds of $2.29.

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 Red Sox (+1.5) are predicted to cover the line 60% of the time, while the 9.5-run over/under is expected to stay under 57% of the time.

Red Sox vs Rays: Betting Tips

  • Head to Head: Boston at $1.98 with TAB
  • Line: Red Sox +1.5 at $1.60 with TAB
  • Total Runs: Under 9.5 at $1.91 with TAB

Stats Insider's Red Sox vs Rays predictions are based on market-leading simulations and wagering experience 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 Red Sox to win is our recommended option because of the edge found when comparing our data-driven probabilities to the odds currently on offer.

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

Red Sox vs Rays: Prediction

Stats Insider provides full coverage of the Boston vs Tampa Bay game on Saturday, including data-driven predictions and the best betting tips.

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

As always, see our Best Bets to get the best tips on every MLB game, plus predictions for a wide range of other sports.

Red Sox vs Rays: Essential Details

The match-up between the Red Sox and Rays at Fenway Park is scheduled to begin at 9:10am AEST on Saturday.

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

Conclusion

Our Boston 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 cutting-edge technology and machine learning to ensure our MLB tips are trustworthy and reliable, giving you the confidence to make informed decisions.

If you choose to use our predictions for betting purposes, it's important to gamble responsibly and know when to stop. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

More on MLB

Stats Insider is your go-to source for betting on the MLB in Australia, with the latest MLB betting news, tips 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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