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Brewers vs. Tigers prediction: Detroit favored to win Wednesday's MLB matchup [4/22/2026]

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Written by Jason Bevilacqua

Get Milwaukee Brewers vs Detroit Tigers predictions for MLB Wednesday.

Milwaukee Brewers-Detroit Tigers Predictions and Game Preview.
Milwaukee Brewers vs. Detroit Tigers MLB prediction for Wednesday, April 22, 2026.

The Detroit Tigers and Milwaukee Brewers are scheduled to meet in MLB action at Comerica Park on Wednesday, starting at 6:40 PM ET.

Casey Mize (1-1, 2.78 ERA) will start for the Tigers, up against DL Hall (0-0, 2.79 ERA) for the Brewers.

Based on the latest simulations, Dimers' proven MLB model gives the Tigers a slight edge with a 54% win probability over the Brewers.

This article offers an expanded analysis of Wednesday's Brewers vs. Tigers 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 Wednesday's MLB game between the Brewers and Tigers, forming part of our MLB predictions coverage.

Our independent predictive model currently gives the Tigers a 54% chance of defeating the Brewers.

According to our model, the Brewers (+1.5) have a 63% chance of covering the run line, while the over/under total of 7.5 runs has a 53% chance of going over.

 

Brewers vs. Tigers odds [4/22/2026]

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

Bet Type Brewers Tigers
Run Line +1.5 (-184) -1.5 (+165)
Moneyline +116 -134
Total o7.5 (-105) u7.5 (+102)

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 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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