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Astros vs. Mariners prediction: Seattle favored to win Saturday's MLB matchup [4/11/2026]

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Written by Jason Bevilacqua

Get Houston Astros vs Seattle Mariners predictions for MLB Saturday.

Houston Astros-Seattle Mariners Predictions and Game Preview.
Houston Astros vs. Seattle Mariners MLB prediction for Saturday, April 11, 2026.

The Seattle Mariners will square off with the Houston Astros in MLB action at T-Mobile Park on Saturday, commencing at 9:40 PM ET.

Luis Castillo (0-0, 2.79 ERA) will be the starting pitcher for the Mariners, while the Astros will counter with Lance McCullers (1-0, 3.27 ERA).

Based on updated simulation results, Dimers' proven MLB model predicts the Mariners as the most likely winner of the Astros vs. Mariners game.

This article offers an expanded analysis of Saturday's matchup, including best bets and picks.

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

Using trusted machine learning and data, we have simulated the outcome of Saturday's MLB matchup between the Astros and Mariners, forming part of our MLB predictions coverage.

Our independent predictive model currently gives the Mariners a 59% chance of beating the Astros.

According to our model, the Astros (+1.5) have a 60% chance of covering the run line, while the over/under total of 7.5 runs has a 51% chance of going over.

 

Astros vs. Mariners odds [4/11/2026]

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

Bet Type Astros Mariners
Run Line +1.5 (-163) -1.5 (+140)
Moneyline +135 -152
Total o7.5 (+100) u7.5 (-115)

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

Astros vs. Mariners 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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