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Yankees vs. Rays prediction: Why Yankees are favored to win Saturday's MLB matchup [4/11/2026]

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Written by Jason Bevilacqua

Get New York Yankees vs Tampa Bay Rays predictions for MLB Saturday.

New York Yankees-Tampa Bay Rays Predictions and Game Preview.
New York Yankees vs. Tampa Bay Rays MLB prediction for Saturday, April 11, 2026.

The Tampa Bay Rays will take on the New York Yankees in MLB action at Tropicana Field on Saturday, starting at 6:10 PM ET.

The Rays will start Nick Martinez (0-0, 2.25 ERA), pitting him against Max Fried (2-0, 1.35 ERA) for the Yankees.

Based on the latest simulations, Dimers' advanced MLB model predicts the Yankees as the most likely winner of the Yankees vs. Rays game.

This article offers further insights into Saturday's matchup, including best bets and picks.

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

Using innovative machine learning and data analysis, we have simulated the result of Saturday's MLB matchup between the Yankees and Rays, forming part of our MLB predictions coverage.

Our leading predictive model gives the Yankees a 60% chance of defeating the Rays.

According to our model, the Rays (+1.5) have a 53% chance of covering the run line, while the over/under total of eight runs has a 51% chance of going over.

 

Yankees vs. Rays odds [4/11/2026]

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

Bet Type Yankees Rays
Run Line -1.5 (+105) +1.5 (-120)
Moneyline -171 +150
Total o8 (-103) u8 (-117)

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

Yankees vs. Rays 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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