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Royals vs. Yankees prediction: Yankees favored to win Friday's MLB matchup [4/17/2026]

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Written by Jason Bevilacqua

Get Kansas City Royals vs New York Yankees predictions for MLB Friday.

Kansas City Royals-New York Yankees Predictions and Game Preview.
Kansas City Royals vs. New York Yankees MLB prediction for Friday, April 17, 2026.

The New York Yankees will face the Kansas City Royals in MLB action at Yankee Stadium on Friday, starting at 7:05 PM ET.

Cam Schlittler (2-1, 2.49 ERA) will start on the mound for the Yankees, while the Royals have opted for Michael Wacha (2-0, 0.43 ERA).

Based on updated simulations, Dimers' advanced MLB model projects the Yankees as the most likely winner of the Royals vs. Yankees game.

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

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

Using innovative machine learning and data analysis, we have simulated the outcome of Friday's MLB game between the Royals and Yankees, forming part of our MLB predictions coverage.

Our famous predictive model currently gives the Yankees a 61% chance of defeating the Royals.

According to our model, the Royals (+1.5) have a 56% chance of covering the run line, while the 8-run over/under has a 56% chance of going over.

 

Royals vs. Yankees odds [4/17/2026]

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

Bet Type Royals Yankees
Run Line +1.5 (-140) -1.5 (+123)
Moneyline +154 -172
Total o8 (-110) u8 (-105)

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

Royals vs. Yankees 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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