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Marlins vs. Yankees prediction: Yankees favored to win Sunday's MLB matchup [4/5/2026]

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Written by Jason Bevilacqua

Get Miami Marlins vs New York Yankees predictions for MLB Sunday.

Miami Marlins-New York Yankees Predictions and Game Preview.
Miami Marlins vs. New York Yankees MLB prediction for Sunday, April 5, 2026.

The New York Yankees will take on the Miami Marlins in MLB action at Yankee Stadium on Sunday, starting at 1:35 PM ET.

The Yankees will send Max Fried (2-0, 0.00 ERA) to the mound, while the Marlins are going with Chris Paddack (0-1, 18.00 ERA).

Based on the latest simulation results, Dimers' proven MLB model predicts the Yankees as the most likely winner of the Marlins vs. Yankees game.

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

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

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

Our famous predictive model gives the Yankees a 72% chance of defeating the Marlins.

According to our model, the Yankees (-1.5) have a 54% chance of covering the run line, while the over/under total of eight runs has a 52% chance of going over.

 

Marlins vs. Yankees odds [4/5/2026]

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

Bet Type Marlins Yankees
Run Line +1.5 (+114) -1.5 (-136)
Moneyline +240 -295
Total o8 (-115) u8 (-105)

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

Marlins vs. Yankees 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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