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Angels vs. Astros prediction: Houston favored to win MLB Opening Day matchup [3/26/2026]

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Written by Jason Bevilacqua

Get Los Angeles Angels vs Houston Astros predictions for MLB Thursday.

Los Angeles Angels-Houston Astros Predictions and Game Preview.
Los Angeles Angels vs. Houston Astros MLB prediction for Thursday, March 26, 2026.

The Houston Astros and Los Angeles Angels are scheduled to meet on opening day of the 2026 MLB season at Daikin Park on Thursday, starting at 4:10 PM ET.

Hunter Brown (0-0, 0.00 ERA) will get the ball for the Astros, pitting him against José Soriano (0-0, 0.00 ERA) for the Angels.

Based on updated simulations, Dimers' upgraded MLB model projects the Astros as the most likely winner of the Angels vs. Astros game.

This article offers an expanded analysis of Thursday's matchup, including best bets and picks.

Angels vs. Astros prediction: Who will win on MLB Opening Day?

Using trusted machine learning and data, we have simulated the result of Thursday's MLB matchup between the Angels and Astros, forming part of our MLB predictions coverage.

Our independent predictive model currently gives the Astros a 62% chance of beating the Angels.

According to our model, the Angels (+1.5) have a 55% chance of covering the run line, while the over/under total of eight runs has a 57% chance of going over.

 

Angels vs. Astros odds [3/26/2026]

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

Bet Type Angels Astros
Run Line +1.5 (-143) -1.5 (+125)
Moneyline +154 -175
Total o8 (-112) u8 (-105)

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

Angels vs. Astros 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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