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Read Article Blue Jays vs. Yankees Prediction: Yankees Predicted to Win Saturday's MLB Matchup [4/26/2025]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Our expert prediction for Saturday's Toronto Blue Jays vs New York Yankees matchup.
The New York Yankees will square off with the Toronto Blue Jays in MLB action at Yankee Stadium on Saturday, commencing at 1:05PM ET.
The Yankees will have Max Fried (4-0, 1.42 ERA) as their starting pitcher, while the Blue Jays will counter with Kevin Gausman (2-2, 3.16 ERA).
Based on updated simulations, Dimers' advanced MLB model (see Dimers Pro for full access) predicts the Yankees as the most likely winner of today's game.
"Our team has used the latest data to run 10,000 simulations of Saturday's Toronto-NY Yankees game," said Dimers' Chief Content Officer, Nick Slade.
"By incorporating recent updates and various other inputs, we estimate that the Yankees are more likely to win, while the Blue Jays have a lower chance of victory."
For a closer look at Saturday's matchup, including best bets and picks, visit our interactive Blue Jays vs. Yankees predictions page.
Get 20% off Dimers Pro With Code 20BASEBALL Get Dimers Pro Yankees vs. Blue Jays Prediction: Who Will Win, Cover the Run Line?
Using innovative machine learning and data, we have simulated the result of Saturday's MLB game between the Blue Jays and Yankees 10,000 times as part of our MLB predictions coverage.
Our leading predictive model gives the Yankees a 64% chance of defeating the Blue Jays.
According to our model, the Blue Jays (+1.5) have a 54% chance of covering the run line, while the over/under total of 8.5 runs has a 51% chance of staying under.
Pre-Game Probabilities
Last Updated: 2:28PM, Apr 26
Moneyline
Over / Under
Run Line
Kevin Gausman 2-2, 3.16 ERA
Max Fried 4-0, 1.42 ERA
Get the best bets with Dimers Pro
Blue Jays vs. Yankees Odds [4/26/2025]
We have sourced the best MLB odds in America for this game, which are listed here:
| Bet Type | Blue Jays | Yankees |
|---|---|---|
| Run Line | +1.5 (-120) | -1.5 (+102) |
| Moneyline | +170 | -190 |
| Total | o8.5 (-105) | u8.5 (-115) |
All odds are correct at the time of publication and are subject to change.
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Blue Jays vs. Yankees Picks and Best Bets
Our model's strongest edge in today's Blue Jays vs. Yankees matchup is on the over/under.
Our expert predictions, matched against 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.
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Calling Our Shot produces daily MLB betting content, including the predictions featured below.
Blue Jays vs. Yankees Game-Day Updates and Essential Details
Saturday's MLB matchup between the Yankees and Blue Jays at Yankee Stadium is scheduled to begin at 1:05PM ET.
- Who: Toronto Blue Jays vs. New York Yankees
- Date: Saturday, April 26, 2025
- Time: 1:05PM ET/10:05AM PT
- Venue: Yankee Stadium
Dimers.com's full preview of Saturday's Blue Jays vs. Yankees matchup includes our prediction, picks and the latest betting odds.
Before making any Toronto vs. NY Yankees picks, be sure to check out the latest MLB predictions and betting advice from Dimers Pro.
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Conclusion
We predict the Yankees, with a 64% win probability, will likely beat the Blue Jays on Saturday.
AI and automation have enhanced this article to quickly deliver accurate Blue Jays vs. Yankees insights, with human oversight ensuring high editorial quality. Our predictions are drawn from up-to-date data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.
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More on MLB
Stay up-to-date with the latest MLB news and MLB parlay picks throughout the season. Plus, our World Series odds provide the most up-to-date probabilities for the World Series, American League, National League and each division.
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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