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Red Sox vs. Astros prediction: Boston favored to win Monday's MLB matchup [3/30/2026]

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Written by Jason Bevilacqua

Get Boston Red Sox vs Houston Astros predictions for MLB Monday.

Boston Red Sox-Houston Astros Predictions and Game Preview.
Boston Red Sox vs. Houston Astros MLB prediction for Monday, March 30, 2026.

The Houston Astros and Boston redsox are scheduled to meet in MLB action at Daikin Park on Monday, starting at 8:10 PM ET.

Lance McCullers (0-0, 0.00 ERA) will start on the mound for the Astros, while the Red Sox have opted for Ranger Suarez (0-0, 0.00 ERA).

Based on updated simulation results, Dimers' precision-tuned MLB model gives the Red Sox a slight edge with a 52% win probability over the Astros.

This article offers a closer look at Monday's Red Sox vs. Astros matchup, including best bets and picks.

Red Sox vs. Astros prediction: Who will win and cover?

Using innovative machine learning and statistical analysis, we have simulated the outcome of Monday's MLB game between the Red Sox and Astros, forming part of our MLB predictions coverage.

Our leading predictive model gives the Red Sox a 52% chance of defeating the Astros.

According to our model, the Astros (+1.5) have a 60% chance of covering the run line, while the 8.5-run over/under has a 55% chance of going over.

 

Red Sox vs. Astros odds [3/30/2026]

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

Bet Type Red Sox Astros
Run Line -1.5 (+135) +1.5 (-156)
Moneyline -124 +106
Total o8.5 (-112) u8.5 (-105)

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

Red Sox 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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