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Cincinnati vs. UCF prediction: UCF favored to win men's college basketball matchup [1/11/2026]

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Written by Jason Bevilacqua

Get Cincinnati vs UCF predictions for college basketball Sunday.

Cincinnati-UCF Predictions and Game Preview.
Cincinnati vs. UCF men's college basketball prediction for Sunday, January 11, 2026.

UCF will take on Cincinnati in men's college basketball action at Addition Financial Arena on Sunday, beginning at 5:00 PM ET.

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

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

Cincinnati vs. UCF prediction: Who will win and cover?

Using powerful machine learning and data analysis, we have simulated the result of Sunday's NCAA basketball game between Cincinnati and UCF 10,000 times as part of our men's college basketball predictions coverage.

Our famous predictive model currently gives UCF a 60% chance of beating Cincinnati. Our predicted final score has UCF winning 78-75.

According to our model, the bookies have got it right, and Cincinnati and UCF each have a 50% chance of covering the spread, while the over/under total of 150.5 points has a 54% chance of going over.

 

Cincinnati vs. UCF odds

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

Bet Type Cincinnati UCF
Spread +2.5 (-108) -2.5 (-110)
Moneyline +130 -150
Total o150.5 (-105) u150.5 (-110)

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

Cincinnati vs. UCF picks and best bet

After matching our probabilities 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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