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Reds vs. Rays prediction: Why Tampa Bay is favored to win Wednesday's MLB matchup [4/22/2026]

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Written by Jason Bevilacqua

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

Cincinnati Reds-Tampa Bay Rays Predictions and Game Preview.
Cincinnati Reds vs. Tampa Bay Rays MLB prediction for Wednesday, April 22, 2026.

The Tampa Bay Rays will take on the Cincinnati Reds in MLB action at Tropicana Field on Wednesday, starting at 1:10 PM ET.

Nick Martinez (0-1, 2.46 ERA) will be on the bump for the Rays, while the Reds have opted for Brandon Williamson (2-1, 4.36 ERA).

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

This article offers an expanded analysis of Wednesday's 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 result of Wednesday's MLB matchup between the Reds and Rays, forming part of our MLB predictions coverage.

Our famous predictive model currently gives the Rays a 55% chance of beating the Reds.

According to our model, the Reds (+1.5) have a 61% chance of covering the run line, while the over/under total of 8.5 runs has a 52% chance of going over.

 

Reds vs. Rays odds [4/22/2026]

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

Bet Type Reds Rays
Run Line +1.5 (-176) -1.5 (+150)
Moneyline +119 -138
Total o8.5 (-105) u8.5 (-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 probabilities 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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