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White Sox vs. Blue Jays Prediction: Toronto Predicted to Win Sunday's MLB Matchup [6/22/2025]

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Written by Jason Bevilacqua

Our expert prediction for Sunday's Chicago White Sox vs Toronto Blue Jays matchup.

Chicago White Sox-Toronto Blue Jays Predictions and Game Preview.
Rogers Centre sets the stage for the MLB matchup between the Chicago White Sox and Toronto Blue Jays this Sunday.

MLB action continues on Sunday at 1:37PM ET as the Chicago White Sox lock horns with the Toronto Blue Jays at Rogers Centre.

Chris Bassitt (7-3, 3.75 ERA) will get the ball for the Blue Jays, pitting him against Adrian Houser (2-2, 2.15 ERA) for the White Sox.

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

"Using the most recent data, our experts ran 10,000 simulations of Sunday's White Sox-Blue Jays game," said Dimers' Chief Content Officer, Nick Slade.

"After accounting for recent updates and other variables, our prediction shows the Blue Jays with a win probability of 66%, while the White Sox have 34%."

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

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

Using powerful machine learning and data, we have simulated the result of Sunday's MLB game between the White Sox and Blue Jays 10,000 times as part of our MLB predictions coverage.

Our leading predictive model currently gives the Blue Jays a 66% chance of defeating the White Sox.

According to our model, the White Sox (+1.5) have a 54% chance of covering the run line, while the 8.5-run over/under has a 54% chance of staying under.

 

White Sox vs. Blue Jays Odds [6/22/2025]

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

Bet Type White Sox Blue Jays
Run Line +1.5 (-122) -1.5 (+105)
Moneyline +170 -200
Total o8.5 (-103) u8.5 (-118)

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

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White Sox vs. Blue Jays Picks and Best Bets

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

Our expert predictions, aligned with the current odds, reveal the best MLB picks and MLB best bets for every game throughout the season.

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

Calling Our Shot's Best Bets

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

White Sox vs. Blue Jays Game-Day Updates and Essential Details

Sunday's MLB action between the Blue Jays and White Sox at Rogers Centre is scheduled to start at 1:37PM ET.

Dimers.com's in-depth preview of Sunday's White Sox vs. Blue Jays matchup includes our prediction, picks and the latest betting odds.

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

Key MLB Betting Guides and Insights

Conclusion

We predict the Blue Jays, with a 66% win probability, will likely beat the White Sox on Sunday.

AI and automation have enhanced this article to quickly deliver accurate White Sox vs. Blue Jays insights, with human oversight ensuring high editorial quality. Our predictions are based on 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

Keep up with the latest MLB betting news and MLB parlay picks throughout the season. Plus, our World Series odds provide the most accurate predictions 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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