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UTSA vs. Memphis prediction: Why Memphis is favored to win men's college basketball matchup [1/18/2026]

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Written by Jason Bevilacqua

Get UTSA vs Memphis predictions for college basketball Sunday.

UTSA-Memphis Predictions and Game Preview.
UTSA vs. Memphis men's college basketball prediction for Sunday, January 18, 2026.

Memphis will take on UTSA in men's college basketball action at FedExForum on Sunday, commencing at 6:00 PM ET.

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

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

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

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

Our famous predictive model gives Memphis a 96% chance of beating UTSA. Our predicted final score has Memphis winning 83-62.

According to our model, the bookmakers have got it right, and UTSA and Memphis each have a 50% chance of covering the spread, while the over/under total of 146.5 points has a 52% chance of staying under.

 

UTSA vs. Memphis odds

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

Bet Type UTSA Memphis
Spread +20.5 (-112) -20.5 (-105)
Moneyline +1700 -4500
Total o146.5 (-110) u146.5 (-105)

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

UTSA vs. Memphis 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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