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La Salle vs. Michigan prediction: Why Michigan is favored to win men's college basketball matchup [12/21/2025]

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Written by Jason Bevilacqua

Get La Salle vs Michigan predictions for college basketball Sunday.

La Salle-Michigan Predictions and Game Preview.
La Salle vs. Michigan men's college basketball prediction for Sunday, December 21, 2025.

Michigan will take on La Salle in men's college basketball action at Crisler Center on Sunday, starting at 4:00 PM ET.

Based on updated simulation results, Dimers' proven college basketball model predicts Michigan as the most likely winner of the La Salle vs. Michigan game.

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

La Salle vs. Michigan prediction: Who will win and cover?

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

Our famous predictive model gives Michigan a 99% chance of beating La Salle. Our predicted final score has Michigan winning 93-61.

According to our model, La Salle (+39.5) has a 59% chance of covering the spread, while the 153.5-point over/under has a 52% chance of going over.

 

La Salle vs. Michigan odds

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

Bet Type La Salle Michigan
Spread +39.5 (-110) -39.5 (-108)
Moneyline +8000 -100000
Total o153.5 (-108) u153.5 (-110)

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

La Salle vs. Michigan 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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