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Blue Jays vs Pirates Prediction and MLB Tips - 25 May 2026

The Toronto Blue Jays will take on the Pittsburgh Pirates in MLB action at Rogers Centre on Monday, starting at 2:15am AEST.

Dylan Cease (3-2, 2.98 ERA) will start for the Blue Jays, up against Mitch Keller (4-2, 3.86 ERA) for the Pirates.

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

Who Will Win?

Utilising trusted computer power and data, Stats Insider has simulated the outcome of Monday's Toronto vs Pittsburgh MLB game 10,000 times.

Our independent predictive analytics model currently gives the Blue Jays a 62% chance of winning against the Pirates at Rogers Centre.

Blue Jays vs Pirates: Odds

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

  • Head to Head: Blue Jays $1.59, Pirates $2.45
  • Line: Blue Jays -1.5 ($2.25), Pirates +1.5 ($1.67)
  • 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 $1.59 and the Pirates at $2.45.

The Blue Jays are listed as 1.5-run favourites against the Pirates, with odds of $2.25 available at TAB.

For the underdog Pirates (+1.5) to cover the line, TAB offers odds of $1.67.

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 analytics model, the Pirates (+1.5) are predicted to cover the line 56% of the time, while the 7.5-run over/under is expected to go over 54% of the time.

Blue Jays vs Pirates: Betting Tips

  • Head to Head: Toronto at $1.59 with TAB
  • Line: Blue Jays -1.5 at $2.25 with TAB
  • Total Runs: Over 7.5 at $1.91 with TAB

These Blue Jays vs Pirates best bets are based on world-class modelling and wagering experience to give you the best possible advice every day of the year.

Although the Pirates are more likely to cover the line, our best bet of Blue Jays -1.5 is based on the likelihood of that happening, as suggested by our predictive analytics model, and the best odds available.

Blue Jays vs Pirates: Prediction

Stats Insider provides full coverage of the Toronto vs Pittsburgh game on Monday, including data-driven predictions and live win probabilitiestips.

Remember, our model updates regularly, so keep checking this page for the latest betting analysis before the Toronto vs Pittsburgh game.

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

Blue Jays vs Pirates: Essential Details

The match-up between the Blue Jays and Pirates at Rogers Centre is scheduled to start at 2:15am AEST on Monday.

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

Conclusion

Our Toronto vs Pittsburgh predictions are based on 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 trustworthy 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 keep track of your money. 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, 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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