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Penn State vs. Maryland prediction: Why Maryland is favored to win men's college basketball matchup [1/18/2026]

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Written by Jason Bevilacqua

Get Penn State vs Maryland predictions for college basketball Sunday.

Penn State-Maryland Predictions and Game Preview.
Penn State vs. Maryland men's college basketball prediction for Sunday, January 18, 2026.

Maryland and Penn State will meet in men's college basketball action at XFINITY Center on Sunday, starting at 12:00 PM ET.

Based on the latest simulation results, Dimers' advanced college basketball model predicts Maryland as the most likely winner of the Penn State vs. Maryland game.

This article offers further insights into Sunday's matchup, including an expanded look at the predicted score, best bets and picks.

Penn State vs. Maryland prediction: Who will win and cover?

Using powerful machine learning and data, we have simulated the outcome of Sunday's NCAA basketball game between Penn State and Maryland 10,000 times as part of our men's college basketball predictions coverage.

Our independent predictive model gives Maryland a 61% chance of beating Penn State. Our predicted final score has Maryland winning 75-72.

According to our model, Maryland (-1.5) has a 56% chance of covering the spread, while the over/under total of 145.5 points has a 52% chance of staying under.

 

Penn State vs. Maryland odds

We have sourced the best men's college basketball odds in America for this game, which are listed here:

Bet Type Penn State Maryland
Spread +1.5 (-108) -1.5 (-110)
Moneyline +108 -125
Total o145.5 (-115) u145.5 (-105)

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

Penn State vs. Maryland 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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