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Reds vs. Twins prediction: Why Minnesota is favored to win Sunday's MLB matchup [4/19/2026]

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Written by Jason Bevilacqua

Get Cincinnati Reds vs Minnesota Twins predictions for MLB Sunday.

Cincinnati Reds-Minnesota Twins Predictions and Game Preview.
Cincinnati Reds vs. Minnesota Twins MLB prediction for Sunday, April 19, 2026.

The Minnesota Twins will take on the Cincinnati Reds, in what is expected to be a tight MLB game, at Target Field on Sunday, starting at 2:10 PM ET.

Bailey Ober (2-0, 5.49 ERA) will be on the bump for the Twins, while the Reds are going with Brady Singer (1-1, 5.60 ERA).

Based on the latest simulation results, Dimers' advanced MLB model gives the Twins a slight edge with a 53% win probability over the Reds.

This article offers further insights into Sunday's Reds vs. Twins matchup, including best bets and picks.

Reds vs. Twins prediction: Who will win and cover?

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

Our famous predictive model currently gives the Twins a 53% chance of defeating the Reds.

According to our model, the Reds (+1.5) have a 63% chance of covering the run line, while the over/under total of eight runs has a 57% chance of going over.

 

Reds vs. Twins odds [4/19/2026]

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

Bet Type Reds Twins
Run Line +1.5 (-199) -1.5 (+170)
Moneyline +108 -125
Total o8 (-110) u8 (-105)

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

Reds vs. Twins 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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