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UTSA vs. Alabama prediction: Why Alabama is favored to win men's college basketball matchup [12/7/2025]

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Written by Jason Bevilacqua

Get UTSA vs Alabama predictions for college basketball Sunday.

UTSA-Alabama Predictions and Game Preview.
UTSA vs. Alabama men's college basketball prediction for Sunday, December 7, 2025.

Men's college basketball action continues on Sunday at 2:00PM ET as UTSA looks to defy the odds against Alabama in men's college basketball action at Coleman Coliseum.

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

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

UTSA vs. Alabama prediction: Who will win and cover?

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

Our famous predictive model currently gives Alabama a 98% chance of beating UTSA. Our predicted final score has Alabama winning 97-68.

According to our model, UTSA (+33.5) has a 56% chance of covering the spread, while the 171.5-point over/under has a 53% chance of staying under.

 

UTSA vs. Alabama odds

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

Bet Type UTSA Alabama
Spread +33.5 (-104) -33.5 (-108)
Moneyline +8000 -100000
Total o171.5 (-108) u171.5 (-110)

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

UTSA vs. Alabama 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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