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Astros vs. Guardians prediction: Why Cleveland is favored to win Monday's MLB matchup [4/20/2026]

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Written by Jason Bevilacqua

Get Houston Astros vs Cleveland Guardians predictions for MLB Monday.

Houston Astros-Cleveland Guardians Predictions and Game Preview.
Houston Astros vs. Cleveland Guardians MLB prediction for Monday, April 20, 2026.

The Cleveland Guardians will face the Houston Astros, in what is expected to be a close MLB game, at Progressive Field on Monday, starting at 6:10 PM ET.

The Guardians will start Slade Cecconi (0-2, 5.03 ERA), while the Astros will counter with Spencer Arrighetti (1-0, 1.50 ERA).

Based on updated simulations, Dimers' proven MLB model gives the Guardians a slight edge with a 51% win probability over the Astros.

This article offers a closer look at Monday's Astros vs. Guardians matchup, including best bets and picks.

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

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

Our leading predictive model gives the Guardians a 51% chance of defeating the Astros.

According to our model, the Guardians (+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.

 

Astros vs. Guardians odds [4/20/2026]

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

Bet Type Astros Guardians
Run Line -1.5 (+168) +1.5 (-193)
Moneyline -102 -115
Total o7.5 (-105) u7.5 (-104)

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 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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