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Red Sox vs. Blue Jays prediction: Why Toronto is favored to win Monday's MLB matchup [4/27/2026]

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Written by Jason Bevilacqua

Get Boston Red Sox vs Toronto Blue Jays predictions for MLB Monday.

Boston Red Sox-Toronto Blue Jays Predictions and Game Preview.
Boston Red Sox vs. Toronto Blue Jays MLB prediction for Monday, April 27, 2026.

The Toronto Blue Jays will take on the Boston Red Sox in MLB action at Rogers Centre on Monday, beginning at 7:07 PM ET.

Dylan Cease (1-0, 2.10 ERA) will be the starting pitcher for the Blue Jays, pitting him against Ranger Suarez (1-2, 4.00 ERA) for the Red Sox.

Based on updated simulations, Dimers' proven MLB model projects the Blue Jays as the most likely winner of the Red Sox vs. Blue Jays game.

This article offers a closer look at Monday's matchup, including best bets and picks.

Red Sox vs. Blue Jays prediction: Who will win and cover?

Using innovative machine learning and data, we have simulated the outcome of Monday's MLB matchup between the Red Sox and Blue Jays, forming part of our MLB predictions coverage.

Our leading predictive model gives the Blue Jays a 57% chance of defeating the Red Sox.

According to our model, the Red Sox (+1.5) have a 61% chance of covering the run line, while the 7-run over/under has a 57% chance of going over.

 

Red Sox vs. Blue Jays odds [4/27/2026]

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

Bet Type Red Sox Blue Jays
Run Line +1.5 (-184) -1.5 (+155)
Moneyline +120 -140
Total o7 (-120) u7 (+100)

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

Red Sox vs. Blue Jays picks and best bet

After matching our predictions against the best available odds, we can reveal our picks for each of the major markets. Plus, find our best bet for the game below:

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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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