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Cubs vs. Rays prediction: Tight battle projected in updated analysis for Wednesday's MLB matchup [4/8/2026]

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Written by Jason Bevilacqua

Get Chicago Cubs vs Tampa Bay Rays predictions for MLB Wednesday.

Chicago Cubs-Tampa Bay Rays Predictions and Game Preview.
Chicago Cubs vs. Tampa Bay Rays MLB prediction for Wednesday, April 8, 2026.

MLB action continues on Wednesday at 6:40 PM ET as the Chicago Cubs square off with the Tampa Bay Rays at Tropicana Field.

Joe Boyle (0-0, 3.18 ERA) will be on the bump for the Rays, pitting him against Colin Rea (0-0, 4.26 ERA) for the Cubs.

Based on updated simulations, Dimers' proven MLB model gives an equal chance for both both teams to win the Cubs-Rays matchup.

This article offers an expanded analysis of Wednesday's Cubs vs. Rays matchup, including best bets and picks.

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

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

Our independent predictive model currently can't split the two teams, giving both the Cubs and Rays a 50% chance of winning the game.

According to our model, the Rays (+1.5) have a 63% chance of covering the run line, while the 8.5-run over/under has a 52% chance of staying under.

 

Cubs vs. Rays odds [4/8/2026]

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

Bet Type Cubs Rays
Run Line -1.5 (+155) +1.5 (-180)
Moneyline +100 -110
Total o8.5 (+100) u8.5 (-122)

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

Cubs 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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