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Reds vs. Twins prediction: Why Minnesota is favored to win Friday's MLB matchup [4/17/2026]

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Written by Jason Bevilacqua

Get Cincinnati Reds vs Minnesota Twins predictions for MLB Friday.

Cincinnati Reds-Minnesota Twins Predictions and Game Preview.
Cincinnati Reds vs. Minnesota Twins MLB prediction for Friday, April 17, 2026.

The Minnesota Twins will square off with the Cincinnati Reds in MLB action at Target Field on Friday, starting at 8:10 PM ET.

The Twins will have Joe Ryan (2-1, 3.80 ERA) as their starting pitcher, pitting him against Brandon Williamson (1-1, 5.28 ERA) for the Reds.

Based on the latest simulations, Dimers' advanced MLB model predicts the Twins as the most likely winner of the Reds vs. Twins game.

This article offers a closer look at Friday's 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 Friday's MLB matchup between the Reds and Twins, forming part of our MLB predictions coverage.

Our famous predictive model gives the Twins a 60% chance of defeating the Reds.

According to our model, the Reds (+1.5) have a 57% chance of covering the run line, while the 8-run over/under has a 53% chance of going over.

 

Reds vs. Twins odds [4/17/2026]

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

Bet Type Reds Twins
Run Line +1.5 (-143) -1.5 (+122)
Moneyline +145 -172
Total o8 (-108) u8 (-110)

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 available 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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