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Rockies vs. Astros prediction: Houston favored to win Wednesday's MLB matchup [4/15/2026]

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Written by Jason Bevilacqua

Get Colorado Rockies vs Houston Astros predictions for MLB Wednesday.

Colorado Rockies-Houston Astros Predictions and Game Preview.
Colorado Rockies vs. Houston Astros MLB prediction for Wednesday, April 15, 2026.

The Houston Astros will square off with the Colorado Rockies in MLB action at Daikin Park on Wednesday, commencing at 8:10 PM ET.

The Astros will send Spencer Arrighetti (0-0, 0.00 ERA) to the mound, up against Jose Quintana (0-0, 4.15 ERA) for the Rockies.

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

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

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

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

Our famous predictive model gives the Astros a 65% chance of defeating the Rockies.

According to our model, the Rockies (+1.5) have a 52% chance of covering the run line, while the 8.5-run over/under has a 59% chance of going over.

 

Rockies vs. Astros odds [4/15/2026]

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

Bet Type Rockies Astros
Run Line +1.5 (-131) -1.5 (+116)
Moneyline +159 -184
Total o8.5 (-118) u8.5 (-102)

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 available 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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