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Royals vs. Tigers prediction: Kansas City favored to win Thursday's MLB matchup [4/16/2026]

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Written by Jason Bevilacqua

Get Kansas City Royals vs Detroit Tigers predictions for MLB Thursday.

Kansas City Royals-Detroit Tigers Predictions and Game Preview.
Kansas City Royals vs. Detroit Tigers MLB prediction for Thursday, April 16, 2026.

The Detroit Tigers will take on the Kansas City Royals, in what is expected to be a tight MLB game, at Comerica Park on Thursday, starting at 1:10 PM ET.

The Tigers will send Keider Montero (1-1, 1.74 ERA) to the mound, while the Royals have opted for Kris Bubic (2-1, 2.50 ERA).

Based on updated simulation results, Dimers' advanced MLB model gives the Royals a slight edge with a 52% win probability over the Tigers.

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

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

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

Our famous predictive model currently gives the Royals a 52% chance of beating the Tigers.

According to our model, the Tigers (+1.5) have a 61% chance of covering the run line, while the over/under total of 8.5 runs has a 51% chance of going over.

 

Royals vs. Tigers odds [4/16/2026]

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

Bet Type Royals Tigers
Run Line -1.5 (+136) +1.5 (-163)
Moneyline -114 +102
Total o8.5 (-105) u8.5 (-105)

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

Royals vs. Tigers 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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