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Brewers vs. Tigers prediction: Detroit favored to win Thursday's MLB matchup [4/23/2026]

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Written by Jason Bevilacqua

Get Milwaukee Brewers vs Detroit Tigers predictions for MLB Thursday.

Milwaukee Brewers-Detroit Tigers Predictions and Game Preview.
Milwaukee Brewers vs. Detroit Tigers MLB prediction for Thursday, April 23, 2026.

The Detroit Tigers will square off with the Milwaukee Brewers in MLB action at Comerica Park on Thursday, starting at 1:10 PM ET.

Tarik Skubal (3-2, 2.08 ERA) will start for the Tigers, up against Brandon Sproat (0-1, 6.88 ERA) for the Brewers.

Based on updated simulations, Dimers' advanced MLB model predicts the Tigers as the most likely winner of the Brewers vs. Tigers game.

This article offers further insights into Thursday's matchup, including best bets and picks.

Brewers vs. Tigers prediction: Who will win and cover?

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

Our leading predictive model gives the Tigers a 65% chance of defeating the Brewers.

According to our model, the Brewers (+1.5) have a 54% chance of covering the run line, while the over/under total of 6.5 runs has a 54% chance of going over.

 

Brewers vs. Tigers odds [4/23/2026]

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

Bet Type Brewers Tigers
Run Line +1.5 (-122) -1.5 (+105)
Moneyline +190 -210
Total o6.5 (+101) u6.5 (-131)

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

Brewers vs. Tigers picks and best bet

After matching our predictions against the best current 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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