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Athletics vs. Yankees prediction: Yankees favored to win Tuesday's MLB matchup [4/7/2026]

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Written by Jason Bevilacqua

Get Athletics vs New York Yankees predictions for MLB Tuesday.

Athletics-New York Yankees Predictions and Game Preview.
Athletics vs. New York Yankees MLB prediction for Tuesday, April 7, 2026.

MLB action continues on Tuesday at 7:05 PM ET as the A's take on the New York Yankees at Yankee Stadium.

Cam Schlittler (2-0, 0.00 ERA) will start on the mound for the Yankees, up against Aaron Civale (1-0, 3.60 ERA) for the Athletics.

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

This article offers further insights into Tuesday's matchup, including best bets and picks.

A's vs. Yankees prediction: Who will win and cover?

Using innovative machine learning and statistical analysis, we have simulated the result of Tuesday's MLB game between the Athletics and Yankees, forming part of our MLB predictions coverage.

Our independent predictive model gives the Yankees a 67% chance of defeating the Athletics.

According to our model, the Athletics (+1.5) have a 51% chance of covering the run line, while the 8-run over/under has a 56% chance of going over.

 

Athletics vs. Yankees odds [4/7/2026]

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

Bet Type Athletics Yankees
Run Line +1.5 (+104) -1.5 (-115)
Moneyline +200 -245
Total o8 (-118) u8 (-102)

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

Athletics vs. Yankees picks and best bet

After matching our predictions against the best available 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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