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

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Written by Jason Bevilacqua

Get Missouri vs Kansas predictions for college basketball Sunday.

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

Kansas and Missouri will meet in men's college basketball action at T-Mobile Center on Sunday, with tipoff at 1:00PM ET.

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

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

Missouri vs. Kansas prediction: Who will win and cover?

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

Our famous predictive model currently gives Kansas a 72% chance of beating Missouri. Our predicted final score has Kansas winning 78-71.

According to our model, Kansas (-5.5) has a 51% chance of covering the spread, while the over/under total of 149.5 points has an equal 50-50 chance of hitting.

 

Missouri vs. Kansas odds

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

Bet Type Missouri Kansas
Spread +5.5 (-105) -5.5 (-110)
Moneyline +220 -235
Total o149.5 (-115) u149.5 (-105)

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

Missouri vs. Kansas picks and best bet

After matching our probabilities 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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