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Tigers vs. Red Sox prediction: Detroit favored to win Saturday's MLB matchup [4/18/2026]

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Written by Jason Bevilacqua

Get Detroit Tigers vs Boston Red Sox predictions for MLB Saturday.

Detroit Tigers-Boston Red Sox Predictions and Game Preview.
Detroit Tigers vs. Boston Red Sox MLB prediction for Saturday, April 18, 2026.

The Boston Red Sox and Detroit Tigers will lock horns in MLB action at Fenway Park on Saturday, starting at 4:10 PM ET.

The Red Sox will send Brayan Bello (1-1, 6.14 ERA) to the mound, while the Tigers have opted for Tarik Skubal (2-2, 2.22 ERA).

Based on updated simulation results, Dimers' advanced MLB model projects the Tigers as the most likely winner of the Tigers vs. Red Sox game.

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

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

Using powerful machine learning and data analysis, we have simulated the outcome of Saturday's MLB matchup between the Tigers and Red Sox, forming part of our MLB predictions coverage.

Our independent predictive model gives the Tigers a 60% chance of defeating the Red Sox.

According to our model, the Red Sox (+1.5) have a 53% chance of covering the run line, while the 7-run over/under has a 56% chance of going over.

 

Tigers vs. Red Sox odds [4/18/2026]

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

Bet Type Tigers Red Sox
Run Line -1.5 (+105) +1.5 (-111)
Moneyline -165 +154
Total o7 (+100) u7 (+105)

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

Tigers vs. Red Sox 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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