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Red Sox vs. Orioles prediction: Baltimore favored to win Friday's MLB matchup [4/24/2026]

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Written by Jason Bevilacqua

Get Boston Red Sox vs Baltimore Orioles predictions for MLB Friday.

Boston Red Sox-Baltimore Orioles Predictions and Game Preview.
Boston Red Sox vs. Baltimore Orioles MLB prediction for Friday, April 24, 2026.

MLB action continues on Friday at 7:05 PM ET as the Boston Red Sox square off with the Baltimore Orioles at Oriole Park at Camden Yards.

Brandon Young (1-0, 0.00 ERA) will be on the bump for the Orioles, up against Brayan Bello (1-2, 6.75 ERA) for the Red Sox.

Based on the latest simulation results, Dimers' advanced MLB model gives the Orioles a slight edge with a 53% win probability over the Red Sox.

This article offers further insights into Friday's Red Sox vs. Orioles matchup, including best bets and picks.

Red Sox vs. Orioles prediction: Who will win and cover?

Using trusted machine learning and data analysis, we have simulated the outcome of Friday's MLB matchup between the Red Sox and Orioles, forming part of our MLB predictions coverage.

Our famous predictive model gives the Orioles a 53% chance of beating the Red Sox.

According to our model, the Red Sox (+1.5) have a 63% chance of covering the run line, while the 9-run over/under has a 53% chance of going over.

 

Red Sox vs. Orioles odds [4/24/2026]

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

Bet Type Red Sox Orioles
Run Line +1.5 (-178) -1.5 (+146)
Moneyline +102 -120
Total o9 (-105) u9 (-108)

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

Red Sox vs. Orioles 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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