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Omaha vs. Oregon prediction: Oregon favored to win men's college basketball matchup [12/28/2025]

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Written by Jason Bevilacqua

Get Omaha vs Oregon predictions for college basketball Sunday.

Omaha-Oregon Predictions and Game Preview.
Omaha vs. Oregon men's college basketball prediction for Sunday, December 28, 2025.

Oregon will square off with Omaha in men's college basketball action at Matthew Knight Arena on Sunday, starting at 8:00 PM ET.

Based on updated simulations, Dimers' advanced college basketball model predicts Oregon as the most likely winner of the Omaha vs. Oregon game.

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

Omaha vs. Oregon prediction: Who will win and cover?

Using trusted machine learning and data analysis, we have simulated the outcome of Sunday's NCAA basketball matchup between Omaha and Oregon 10,000 times as part of our men's college basketball predictions coverage.

Our independent predictive model currently gives Oregon a 97% chance of beating Nebraska-Omaha. Our predicted final score has Oregon winning 87-64.

According to our model, Oregon (-21.5) has a 53% chance of covering the spread, while the over/under total of 152.5 points has a 54% chance of staying under.

 

Omaha vs. Oregon odds

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

Bet Type Omaha Oregon
Spread +21.5 (-102) -21.5 (-110)
Moneyline +2200 -5000
Total o152.5 (-105) u152.5 (-108)

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

Omaha vs. Oregon picks and best bet

After matching our probabilities 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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