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Royals vs. Blue Jays Prediction: Toronto Predicted to Win Friday's MLB Matchup [8/1/2025]

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Written by Jason Bevilacqua

Our expert prediction for Friday's Kansas City Royals vs Toronto Blue Jays matchup.

Kansas City Royals-Toronto Blue Jays Predictions and Game Preview.
Rogers Centre sets the stage for the MLB matchup between the Kansas City Royals and Toronto Blue Jays this Friday.

The Toronto Blue Jays will face the Kansas City Royals in MLB action at Rogers Centre on Friday, beginning at 7:07PM ET.

The Blue Jays will have Kevin Gausman (7-7, 3.82 ERA) as their starting pitcher, up against Michael Wacha (4-9, 3.53 ERA) for the Royals.

Based on the latest simulation results, Dimers' proven MLB model (see Dimers Pro for full access) predicts the Blue Jays as the most likely winner of today's game.

For a closer look at Friday's matchup, including best bets and picks, visit our interactive Royals vs. Blue Jays predictions page.


Blue Jays vs. Royals Prediction: Who Will Win, Cover the Run Line?

Using trusted machine learning and statistical analysis, we have simulated the result of Friday's MLB matchup between the Royals and Blue Jays 10,000 times as part of our MLB predictions coverage.

Our famous predictive model gives the Blue Jays a 59% chance of beating the Royals.

According to our model, the Royals (+1.5) have a 61% chance of covering the run line, while the over/under total of 7.5 runs has a 55% chance of going over.

 

Royals vs. Blue Jays Odds [8/1/2025]

We have sourced the best MLB odds in America for this game, which are listed here:

Bet Type Royals Blue Jays
Run Line +1.5 (-160) -1.5 (+135)
Moneyline +130 -154
Total o7.5 (-110) u7.5 (-105)

All odds are correct at the time of publication and are subject to change.

Make the most of your sports betting experience by exploring our comprehensive list of US betting apps, and the latest sportsbooks in 2025, ensuring you never miss a top new-user deal.

Royals vs. Blue Jays Picks and Best Bets

Our model's biggest edge in today's Royals vs. Blue Jays matchup is on the run line.

Our expert predictions, matched against the latest odds, reveal the best MLB picks and MLB best bets for every game throughout the season.

Unlimited access to our full suite of picks, including this one, is available via Dimers Pro.

Calling Our Shot's Free ⚾️ Picks

Calling Our Shot produces daily MLB betting content, including the predictions featured below.

Royals vs. Blue Jays Game-Day Updates and Essential Details

Friday's MLB game between the Blue Jays and Royals at Rogers Centre is scheduled to begin at 7:07PM ET.

Dimers.com's comprehensive preview of Friday's Royals vs. Blue Jays matchup includes our prediction, picks and the latest betting odds.

Before making any Royals vs. Blue Jays picks, be sure to check out the latest MLB predictions and betting advice from Dimers Pro.

Plus, with sports betting in Missouri set to launch on December 1, 2025, Dimers has everything you need—from the latest news and the best MO sports betting promos.

Conclusion

We predict the Blue Jays, with a 59% win probability, will likely beat the Royals on Friday.

AI and automation have enhanced this article to quickly deliver accurate Royals vs. Blue Jays insights, with human oversight ensuring high editorial quality. Our predictions are drawn from the latest data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

More on MLB

Stay up-to-date with the latest MLB news and MLB parlay picks throughout the season. Plus, our World Series odds offer the most accurate projections for the World Series, American League, National League and each division.

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Written by
Jason Bevilacqua
Head of Content and Communities

Jason Bevilacqua, an expert in MLB, NHL, NBA, MLS, and NFL, delivers game previews, best bets, and props. Since 2020, as Head of Social and Community at Dimers, he has contributed insightful articles utilizing data-driven models and simulations.

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