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UNLV vs. Stanford prediction: Stanford favored to win men's college basketball matchup [12/7/2025]

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Written by Jason Bevilacqua

Get UNLV vs Stanford predictions for college basketball Sunday.

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

Men's college basketball action continues on Sunday at 4:00PM ET as UNLV takes on Stanford in men's college basketball action at Maples Pavilion.

Based on updated simulations, Dimers' proven college basketball model predicts Stanford as the most likely winner of the UNLV vs. Stanford game.

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

UNLV vs. Stanford prediction: Who will win and cover?

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

Our leading predictive model gives Stanford a 79% chance of defeating UNLV. Our predicted final score has Stanford winning 84-75.

According to our model, the bookmakers have got it right, and UNLV and Stanford each have a 50% chance of covering the spread, while the over/under total of 164.5 points has a 53% chance of staying under.

 

UNLV vs. Stanford odds

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

Bet Type UNLV Stanford
Spread +9.5 (-106) -9.5 (-105)
Moneyline +430 -470
Total o164.5 (-108) u164.5 (-110)

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

UNLV vs. Stanford 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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