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Athletics vs. Mariners prediction: Seattle favored to win Wednesday's MLB matchup [4/22/2026]

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Written by Jason Bevilacqua

Get Athletics vs Seattle Mariners predictions for MLB Wednesday.

Athletics-Seattle Mariners Predictions and Game Preview.
Athletics vs. Seattle Mariners MLB prediction for Wednesday, April 22, 2026.

The Seattle Mariners and Athletics will meet in MLB action at T-Mobile Park on Wednesday, starting at 4:10 PM ET.

Logan Gilbert (1-3, 4.03 ERA) will start on the mound for the Mariners, up against Aaron Civale (2-1, 3.54 ERA) for the Athletics.

Based on the latest simulation results, Dimers' proven MLB model projects the Mariners as the most likely winner of the Athletics vs. Mariners game.

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

A's vs. Mariners prediction: Who will win and cover?

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

Our leading predictive model currently gives the Mariners a 62% chance of beating the Athletics.

According to our model, the Athletics (+1.5) have a 56% chance of covering the run line, while the over/under total of 7.5 runs has a 51% chance of going over.

 

Athletics vs. Mariners odds [4/22/2026]

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

Bet Type Athletics Mariners
Run Line +1.5 (-137) -1.5 (+118)
Moneyline +160 -185
Total o7.5 (-103) u7.5 (-105)

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

Athletics vs. Mariners 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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