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Astros vs. Guardians prediction: Why Cleveland is favored to win Wednesday's MLB matchup [4/22/2026]

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Written by Jason Bevilacqua

Get Houston Astros vs Cleveland Guardians predictions for MLB Wednesday.

Houston Astros-Cleveland Guardians Predictions and Game Preview.
Houston Astros vs. Cleveland Guardians MLB prediction for Wednesday, April 22, 2026.

MLB action continues on Wednesday at 1:10 PM ET as the Houston Astros square off with the Cleveland Guardians at Progressive Field.

The Guardians will have Tanner Bibee (0-2, 4.81 ERA) as their starting pitcher, while the Astros will counter with Peter Lambert (0-1, 7.20 ERA).

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

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

Astros vs. Guardians prediction: Who will win and cover?

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

Our leading predictive model gives the Guardians a 55% chance of defeating the Astros.

According to our model, the Astros (+1.5) have a 62% chance of covering the run line, while the over/under total of eight runs has a 51% chance of going over.

 

Astros vs. Guardians odds [4/22/2026]

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

Bet Type Astros Guardians
Run Line +1.5 (-155) -1.5 (+132)
Moneyline +139 -160
Total o8 (-108) u8 (-112)

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

Astros vs. Guardians 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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