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Reds vs. Rays prediction: Why Tampa Bay is favored to win Monday's MLB matchup [4/20/2026]

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Written by Jason Bevilacqua

Get Cincinnati Reds vs Tampa Bay Rays predictions for MLB Monday.

Cincinnati Reds-Tampa Bay Rays Predictions and Game Preview.
Cincinnati Reds vs. Tampa Bay Rays MLB prediction for Monday, April 20, 2026.

The Tampa Bay Rays and Cincinnati Reds will lock horns in MLB action at Tropicana Field on Monday, starting at 6:40 PM ET.

The Rays will have Jesse Scholtens (1-0, 0.00 ERA) as their starting pitcher, pitting him against Rhett Lowder (2-1, 3.52 ERA) for the Reds.

Based on updated simulation results, Dimers' proven MLB model gives the Rays a slight edge with a 54% win probability over the Reds.

This article offers a closer look at Monday's Reds vs. Rays matchup, including best bets and picks.

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

Using powerful machine learning and data analysis, we have simulated the outcome of Monday's MLB game between the Reds and Rays, forming part of our MLB predictions coverage.

Our famous predictive model currently gives the Rays a 54% chance of beating the Reds.

According to our model, the Reds (+1.5) have a 64% chance of covering the run line, while the 8-run over/under has a 53% chance of going over.

 

Reds vs. Rays odds [4/20/2026]

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

Bet Type Reds Rays
Run Line +1.5 (-194) -1.5 (+170)
Moneyline +115 -125
Total o8 (-105) u8 (-105)

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

Reds vs. Rays 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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