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Yankees vs. Astros prediction: Yankees favored to win Saturday's MLB matchup [4/25/2026]

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Written by Jason Bevilacqua

Get New York Yankees vs Houston Astros predictions for MLB Saturday.

New York Yankees-Houston Astros Predictions and Game Preview.
New York Yankees vs. Houston Astros MLB prediction for Saturday, April 25, 2026.

The Houston Astros will face the New York Yankees in MLB action at Daikin Park on Saturday, beginning at 7:10 PM ET.

The Astros will start Mike Burrows (1-3, 6.75 ERA), while the Yankees are going with Ryan Weathers (1-2, 3.18 ERA).

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

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

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

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

Our leading predictive model currently gives the Yankees a 55% chance of defeating the Astros.

According to our model, the Astros (+1.5) have a 56% chance of covering the run line, while the 9-run over/under has a 54% chance of going over.

 

Yankees vs. Astros odds [4/25/2026]

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

Bet Type Yankees Astros
Run Line -1.5 (+110) +1.5 (-126)
Moneyline -148 +129
Total o9 (-102) u9 (+100)

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

Yankees vs. Astros picks and best bet

After matching our probabilities 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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