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UAB vs. East Carolina prediction: Why UAB is favored to win men's college basketball matchup [1/11/2026]

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Written by Jason Bevilacqua

Get UAB vs East Carolina predictions for college basketball Sunday.

UAB-East Carolina Predictions and Game Preview.
UAB vs. East Carolina men's college basketball prediction for Sunday, January 11, 2026.

East Carolina and UAB will meet in men's college basketball action at Williams Arena at Minges Coliseum on Sunday, starting at 2:00 PM ET.

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

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

UAB vs. East Carolina prediction: Who will win and cover?

Using powerful machine learning and data analysis, we have simulated the outcome of Sunday's NCAA basketball matchup between UAB and East Carolina 10,000 times as part of our men's college basketball predictions coverage.

Our famous predictive model gives UAB a 75% chance of defeating East Carolina. Our predicted final score has UAB winning 79-71.

According to our model, East Carolina (+7.5) has a 51% chance of covering the spread, while the 150.5-point over/under has an equal 50-50 chance of hitting.

 

UAB vs. East Carolina odds

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

Bet Type UAB East Carolina
Spread -7.5 (-110) +7.5 (-110)
Moneyline -325 +285
Total o150.5 (-110) u150.5 (-105)

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

UAB vs. East Carolina 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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