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Orioles vs Blue Jays Prediction and MLB Tips - 14 April 2025

The Baltimore Orioles will sqaure off with the Toronto Blue Jays in MLB action at Oriole Park at Camden Yards on Monday, beginning at 3:35am AEST.

Cade Povich (0-1, 3.48 ERA) will start for the Orioles, while the Blue Jays will counter with José Berríos (1-1, 4.58 ERA).

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

Who Will Win?

Utilising trusted machine learning and data, Stats Insider has simulated the outcome of Monday's Baltimore vs Toronto MLB match-up 10,000 times.

Our independent predictive analytics model currently gives the Orioles a 56% chance of winning against the Blue Jays at Oriole Park at Camden Yards.

Orioles vs Blue Jays: Odds

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

  • Head to Head: Orioles $1.74, Blue Jays $2.15
  • Line: Orioles -1.5 ($2.50), Blue Jays +1.5 ($1.56)
  • Total (Over/Under 8.5 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 $1.74 and the Blue Jays at $2.15.

The Orioles are 1.5-run favourites against the Blue Jays, with odds of $2.50 available at TAB.

For the underdog Blue Jays (+1.5) to cover the line, TAB offers odds of $1.56.

The over/under for total runs scored is set at 8.5 with TAB, which has odds of $1.91 for the over and $1.91 for the under.

According to Stats Insider's model, the Blue Jays (+1.5) are predicted to cover the line 61% of the time, while the 8.5-run over/under is expected to stay under 51% of the time.

Orioles vs Blue Jays: Betting Tips

  • Head to Head: Baltimore at $1.74 with TAB
  • Line: Orioles -1.5 at $2.50 with TAB
  • Total Runs: Under 8.5 at $1.91 with TAB

These Orioles vs Blue Jays betting tips are based on world-class modelling and wagering intelligence to help you place more informed bets with your chosen online bookie.

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

Orioles vs Blue Jays: Prediction

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

Our model updates regularly, so bookmark this page for the latest betting tips before the Baltimore vs Toronto match-up.

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

Orioles vs Blue Jays: Essential Details

The game between the Orioles and Blue Jays at Oriole Park at Camden Yards is scheduled to begin 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 Toronto predictions have been made thanks to 10,000 data-driven simulations of the game, all curated by our team of experienced 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 decide to use our predictions for betting purposes, it's crucial 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 home 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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