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UNC Asheville vs. UAB prediction: UAB favored to win men's college basketball matchup [12/21/2025]

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Written by Jason Bevilacqua

Get UNC Asheville vs UAB predictions for college basketball Sunday.

UNC Asheville-UAB Predictions and Game Preview.
UNC Asheville vs. UAB men's college basketball prediction for Sunday, December 21, 2025.

UAB will face UNC Asheville in men's college basketball action at Bartow Arena on Sunday, starting at 3:00 PM ET.

Based on the latest simulations, Dimers' proven college basketball model projects UAB as the most likely winner of the UNC Asheville vs. UAB game.

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

UNC Asheville vs. UAB prediction: Who will win and cover?

Using innovative machine learning and statistical analysis, we have simulated the result of Sunday's NCAA basketball matchup between UNC Asheville and UAB 10,000 times as part of our men's college basketball predictions coverage.

Our independent predictive model currently gives UAB a 90% chance of beating UNC Asheville. Our predicted final score has UAB winning 84-69.

According to our model, UAB (-12.5) has a 56% chance of covering the spread, while the 151.5-point over/under has a 52% chance of going over.

 

UNC Asheville vs. UAB odds

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

Bet Type UNC Asheville UAB
Spread +12.5 (-105) -12.5 (-110)
Moneyline +700 -1050
Total o151.5 (-110) u151.5 (-105)

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

UNC Asheville vs. UAB 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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