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Cardinals vs. Astros prediction: Houston favored to win Friday's MLB matchup [4/17/2026]

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Written by Jason Bevilacqua

Get St. Louis Cardinals vs Houston Astros predictions for MLB Friday.

St. Louis Cardinals-Houston Astros Predictions and Game Preview.
St. Louis Cardinals vs. Houston Astros MLB prediction for Friday, April 17, 2026.

The Houston Astros will square off with the St. Louis Cardinals in MLB action at Daikin Park on Friday, beginning at 8:10 PM ET.

Peter Lambert (0-0, 0.00 ERA) will start for the Astros, while the Cardinals are going with Kyle Leahy (1-2, 5.14 ERA).

Based on the latest simulations, Dimers' proven MLB model predicts the Astros as the most likely winner of the Cardinals vs. Astros game.

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

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

Using trusted machine learning and statistical analysis, we have simulated the outcome of Friday's MLB matchup between the Cardinals and Astros, forming part of our MLB predictions coverage.

Our famous predictive model gives the Astros a 57% chance of beating the Cardinals.

According to our model, the Cardinals (+1.5) have a 61% chance of covering the run line, while the over/under total of nine runs has an equal 50-50 chance of hitting.

 

Cardinals vs. Astros odds [4/17/2026]

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

Bet Type Cardinals Astros
Run Line +1.5 (-182) -1.5 (+155)
Moneyline +119 -138
Total o9 (+100) u9 (-102)

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

Cardinals 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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