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UConn vs. DePaul prediction: Connecticut favored to win men's college basketball matchup [12/21/2025]

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Written by Jason Bevilacqua

Get UConn vs DePaul predictions for college basketball Sunday.

UConn-DePaul Predictions and Game Preview.
UConn vs. DePaul men's college basketball prediction for Sunday, December 21, 2025.

DePaul will take on the favored UConn in men's college basketball action at Wintrust Arena on Sunday, starting at 4:30 PM ET.

Based on the latest simulation results, Dimers' proven college basketball model projects Connecticut as the most likely winner of the UConn vs. DePaul game.

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

UConn vs. DePaul 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 UConn and DePaul 10,000 times as part of our men's college basketball predictions coverage.

Our leading predictive model gives Connecticut an 88% chance of beating DePaul. Our predicted final score has Connecticut winning 77-65.

According to our model, DePaul (+14.5) has a 55% chance of covering the spread, while the over/under total of 137.5 points has a 57% chance of going over.

 

UConn vs. DePaul odds

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

Bet Type UConn DePaul
Spread -14.5 (-110) +14.5 (-110)
Moneyline -1400 +890
Total o137.5 (-105) u137.5 (-115)

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

UConn vs. DePaul 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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