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USC vs. Penn State prediction: Why USC is favored to win men's college basketball matchup [2/8/2026]

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Written by Jason Bevilacqua

Get USC vs Penn State predictions for college basketball Sunday.

USC-Penn State Predictions and Game Preview.
USC vs. Penn State men's college basketball prediction for Sunday, February 8, 2026.

Penn State will square off with USC in men's college basketball action at Bryce Jordan Center on Sunday, commencing at 12:00 PM ET.

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

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

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

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

Our independent predictive model currently gives USC a 58% chance of beating Penn State. Our predicted final score has USC winning 78-76.

According to our model, Penn State (+3.5) has a 56% chance of covering the spread, while the 154.5-point over/under has a 51% chance of staying under.

 

USC vs. Penn State odds

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

Bet Type USC Penn State
Spread -3.5 (-102) +3.5 (-118)
Moneyline -160 +142
Total o154.5 (-108) u154.5 (-110)

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

USC vs. Penn State 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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