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Blue Jays vs Rays Prediction and MLB Tips - 29 September 2025

The Toronto Blue Jays will sqaure off with the Tampa Bay Rays in Game 3 of the American League Division Series at Rogers Centre on Monday, commencing at 5:07am AEST.

Kevin Gausman (10-11, 3.47 ERA) will get the ball for the Blue Jays, up against Ian Seymour (4-2, 2.85 ERA) for the Rays.

This article features Stats Insider's best betting tips for the Blue Jays vs Rays game, along with the latest betting odds in Australia.

Who Will Win?

Using advanced computer power and data, Stats Insider has simulated the outcome of Monday's Toronto vs Tampa Bay MLB game 10,000 times.

Our independent predictive analytics model currently gives the Blue Jays a 64% chance of winning against the Rays at Rogers Centre.

Blue Jays vs Rays: Odds

The latest betting odds in Australia for Monday's MLB game at Rogers Centre are shown here:

  • Head to Head: Blue Jays $1.46, Rays $2.78
  • Line: Blue Jays -1.5 ($2.02), Rays +1.5 ($1.80)
  • Total (Over/Under 7.5 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 Blue Jays at $1.46 and the Rays at $2.78.

The Blue Jays are 1.5-run favourites against the Rays, with odds of $2.02 available at TAB.

For the underdog Rays (+1.5) to cover the line, TAB offers odds of $1.80.

The over/under for total runs scored is set at 7.5 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 55% of the time, while the 7.5-run over/under is expected to go over 59% of the time.

Blue Jays vs Rays: Best Bets

  • Head to Head: Tampa Bay at $2.78 with TAB
  • Line: Rays +1.5 at $1.80 with TAB
  • Total Runs: Over 7.5 at $1.91 with TAB

Our Blue Jays vs Rays best bets are based on market-leading modelling and betting expertise to help you place smarter bets with your chosen online bookie.

While the Blue Jays have a higher chance of winning the game, betting on the Rays to win is our recommended option because of the 1.9% edge found when comparing our data-led probabilities to the odds currently on offer.

Making use of the edges seen on Stats Insider is pivotal to achieving long-term success as a punter.

Blue Jays vs Rays: Prediction

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

Remember, our model updates regularly, so keep checking this page for the latest betting analysis before the Toronto vs Tampa Bay match-up.

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

Blue Jays vs Rays: Essential Details

The game between the Blue Jays and Rays at Rogers Centre is scheduled to start at 5:07am AEST on Monday.

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

Conclusion

Our Toronto vs Tampa Bay predictions have been made thanks to 10,000 data-driven simulations of the game, carefully curated by our team of skilled data scientists and analysts. We use the latest in predictive analytics technology and machine learning to ensure our MLB tips are trustworthy and reliable, giving you the confidence to make informed decisions.

If you decide to use our predictions for betting purposes, it's crucial that you 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 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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