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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 will face the Milwaukee Brewers in MLB action at Comerica Park on Wednesday, starting at 6:40 PM ET.

Casey Mize (1-1, 2.78 ERA) will start on the mound for the Tigers, while the Brewers will counter with Chad Patrick (1-0, 0.95 ERA).

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

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

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

Using trusted machine learning and data, we have simulated the result of Wednesday's MLB game between the Brewers and Tigers, forming part of our MLB predictions coverage.

Our leading predictive model currently gives the Tigers a 55% chance of beating the Brewers.

According to our model, the Brewers (+1.5) have a 62% chance of covering the run line, while the 7.5-run over/under has a 57% chance of going over.

 

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

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

Bet Type Brewers Tigers
Run Line +1.5 (-184) -1.5 (+165)
Moneyline +116 -134
Total o7.5 (-124) 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 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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