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Rockies vs. Astros prediction: Houston favored to win Thursday's MLB matchup [4/16/2026]

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Written by Jason Bevilacqua

Get Colorado Rockies vs Houston Astros predictions for MLB Thursday.

Colorado Rockies-Houston Astros Predictions and Game Preview.
Colorado Rockies vs. Houston Astros MLB prediction for Thursday, April 16, 2026.

The Houston Astros and Colorado Rockies are scheduled to meet in MLB action at Daikin Park on Thursday, starting at 8:10 PM ET.

Ryan Weiss (0-2, 7.36 ERA) will be on the bump for the Astros, up against Juan Mejia (0-2, 5.40 ERA) for the Rockies.

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

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

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

Using powerful machine learning and data analysis, we have simulated the outcome of Thursday's MLB game between the Rockies and Astros, forming part of our MLB predictions coverage.

Our independent predictive model currently gives the Astros a 63% chance of defeating the Rockies.

According to our model, the Rockies (+1.5) have a 54% chance of covering the run line, while the 8.5-run over/under has a 56% chance of going over.

 

Rockies vs. Astros odds [4/16/2026]

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

Bet Type Rockies Astros
Run Line +1.5 (-140) -1.5 (+125)
Moneyline +146 -170
Total o8.5 (-108) u8.5 (+100)

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

Rockies 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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