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Yankees vs. Mariners prediction: Yankees favored to win Tuesday's MLB matchup [3/31/2026]

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Written by Jason Bevilacqua

Get New York Yankees vs Seattle Mariners predictions for MLB Tuesday.

New York Yankees-Seattle Mariners Predictions and Game Preview.
New York Yankees vs. Seattle Mariners MLB prediction for Tuesday, March 31, 2026.

The Seattle Mariners will take on the New York Yankees, in what is expected to be a tight MLB game, at T-Mobile Park on Tuesday, beginning at 9:40 PM ET.

Logan Gilbert (0-0, 5.06 ERA) will start for the Mariners, while the Yankees have opted for Max Fried (1-0, 0.00 ERA).

Based on the latest simulation results, Dimers' precision-tuned MLB model gives the Yankees a slight edge with a 52% win probability over the Mariners.

This article offers a closer look at Tuesday's Yankees vs. Mariners matchup, including best bets and picks.

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

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

Our independent predictive model gives the Yankees a 52% chance of defeating the Mariners.

According to our model, the Mariners (+1.5) have a 63% chance of covering the run line, while the 7-run over/under has an equal 50-50 chance of hitting.

 

Yankees vs. Mariners odds [3/31/2026]

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

Bet Type Yankees Mariners
Run Line -1.5 (+164) +1.5 (-186)
Moneyline -110 +100
Total o7 (-102) u7 (-105)

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

Yankees 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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