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Orioles vs. Royals prediction: Kansas City favored to win Wednesday's MLB matchup [4/22/2026]

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Written by Jason Bevilacqua

Get Baltimore Orioles vs Kansas City Royals predictions for MLB Wednesday.

Baltimore Orioles-Kansas City Royals Predictions and Game Preview.
Baltimore Orioles vs. Kansas City Royals MLB prediction for Wednesday, April 22, 2026.

The Kansas City Royals will take on the Baltimore Orioles in MLB action at Kauffman Stadium on Wednesday, beginning at 2:10 PM ET.

Michael Wacha (2-0, 1.00 ERA) will be on the bump for the Royals, while the Orioles have opted for Chris Bassitt (0-2, 6.19 ERA).

Based on the latest simulation results, Dimers' proven MLB model projects the Royals as the most likely winner of the Orioles vs. Royals game.

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

Orioles vs. Royals prediction: Who will win and cover?

Using powerful machine learning and statistical analysis, we have simulated the outcome of Wednesday's MLB game between the Orioles and Royals, forming part of our MLB predictions coverage.

Our independent predictive model currently gives the Royals a 56% chance of defeating the Orioles.

According to our model, the Orioles (+1.5) have a 61% chance of covering the run line, while the over/under total of 9.5 runs has a 52% chance of going over.

 

Orioles vs. Royals odds [4/22/2026]

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

Bet Type Orioles Royals
Run Line +1.5 (-184) -1.5 (+155)
Moneyline +110 -126
Total o9.5 (-110) u9.5 (-102)

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

Orioles 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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