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White Sox vs. Royals prediction: Kansas City favored to win Thursday's MLB matchup [4/9/2026]

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Written by Jason Bevilacqua

Get Chicago White Sox vs Kansas City Royals predictions for MLB Thursday.

Chicago White Sox-Kansas City Royals Predictions and Game Preview.
Chicago White Sox vs. Kansas City Royals MLB prediction for Thursday, April 9, 2026.

The Kansas City Royals will take on the Chicago White Sox in MLB action at Kauffman Stadium on Thursday, starting at 7:40 PM ET.

Seth Lugo (1-0, 1.59 ERA) will get the ball for the Royals, up against Anthony Kay (0-0, 4.00 ERA) for the White Sox.

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

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

White Sox vs. Royals prediction: Who will win and cover?

Using trusted machine learning and data analysis, we have simulated the outcome of Thursday's MLB game between the White Sox and Royals, forming part of our MLB predictions coverage.

Our leading predictive model gives the Royals a 61% chance of beating the White Sox.

According to our model, the White Sox (+1.5) have a 55% chance of covering the run line, while the over/under total of nine runs has a 54% chance of going over.

 

White Sox vs. Royals odds [4/9/2026]

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

Bet Type White Sox Royals
Run Line +1.5 (-131) -1.5 (+115)
Moneyline +153 -178
Total o9 (-115) u9 (-102)

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

White Sox vs. Royals picks and best bet

After matching our probabilities 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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