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Cubs vs. Guardians prediction: Tight battle projected in updated analysis for Friday's MLB matchup [4/3/2026]

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Written by Jason Bevilacqua

Get Chicago Cubs vs Cleveland Guardians predictions for MLB Friday.

Chicago Cubs-Cleveland Guardians Predictions and Game Preview.
Chicago Cubs vs. Cleveland Guardians MLB prediction for Friday, April 3, 2026.

The Cleveland Guardians and Chicago Cubs will meet in MLB action at Progressive Field on Friday, starting at 4:10 PM ET.

The Guardians will start Joey Cantillo (0-0, 4.91 ERA), while the Cubs are going with Cade Horton (1-0, 2.84 ERA).

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

This article offers a closer look at Friday's Cubs vs. Guardians matchup, including best bets and picks.

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

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

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

According to our model, the Guardians (+1.5) have a 61% chance of covering the run line, while the 7.5-run over/under has a 55% chance of going over.

 

Cubs vs. Guardians odds [4/3/2026]

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

Bet Type Cubs Guardians
Run Line -1.5 (+153) +1.5 (-175)
Moneyline -110 +100
Total o7.5 (-108) u7.5 (-108)

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

Cubs vs. Guardians 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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