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Tulsa vs. Auburn prediction: Why Auburn is favored to win NIT matchup [4/5/2026]

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Written by Jason Bevilacqua

Get Tulsa vs Auburn predictions for college basketball Sunday.

Tulsa-Auburn Predictions and Game Preview.
Tulsa vs. Auburn men's college basketball prediction for Sunday, April 5, 2026.

Auburn and Tulsa will lock horns in the 2026 National Invitational Tournament at Gainbridge Fieldhouse on Sunday, with tipoff at 8:00 PM ET.

Based on the latest simulations, Dimers' proven college basketball model predicts Auburn as the most likely winner of the Tulsa vs. Auburn game.

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

Tulsa vs. Auburn prediction: Who will win NIT matchup?

Using innovative machine learning and data, we have simulated the outcome of Sunday's NCAA basketball matchup between Tulsa and Auburn, forming part of today's college basketball picks coverage.

Our leading predictive model currently gives Auburn a 68% chance of beating Tulsa. Our predicted final score has Auburn winning 83-78.

According to our model, Tulsa (+5.5) has a 51% chance of covering the spread, while the over/under total of 159.5 points has a 52% chance of going over.

 

Tulsa vs. Auburn odds

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

Bet Type Tulsa Auburn
Spread +5.5 (-102) -5.5 (-110)
Moneyline +220 -250
Total o159.5 (-105) u159.5 (-110)

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

Tulsa vs. Auburn 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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