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Kansas City vs. South Dakota prediction: South Dakota favored to win men's college basketball matchup [1/15/2026]

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Written by Dave Garofolo

Get Kansas City vs South Dakota predictions for college basketball Thursday.

Kansas City-South Dakota Predictions and Game Preview.
Kansas City vs. South Dakota men's college basketball prediction for Thursday, January 15, 2026.

South Dakota and Kansas City will meet in men's college basketball action at Sanford Coyote Sports Center on Thursday, starting at 8:00 PM ET.

Based on updated simulation results, Dimers' proven college basketball model predicts South Dakota as the most likely winner of the Kansas City vs. South Dakota game.

This article offers an expanded analysis of Thursday's matchup, including an expanded look at the predicted score, best bets and picks.

Kansas City vs. South Dakota prediction: Who will win and cover?

Using trusted machine learning and data analysis, we have simulated the result of Thursday's NCAA basketball game between Kansas City and South Dakota 10,000 times as part of our men's college basketball predictions coverage.

Our leading predictive model gives South Dakota a 72% chance of beating Kansas City. Our predicted final score has South Dakota winning 82-76.

According to our model, Kansas City (+7.5) has a 55% chance of covering the spread, while the over/under total of 158.5 points has an equal 50-50 chance of hitting.

 

Kansas City vs. South Dakota odds

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

Bet Type Kansas City South Dakota
Spread +7.5 (-108) -7.5 (-105)
Moneyline +265 -305
Total o158.5 (-115) u158.5 (-105)

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

Kansas City vs. South Dakota picks and best bet

After matching our probabilities 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
Dave Garofolo
Content Producer

Dave Garofolo uses sophisticated AI-driven analytics to make predictions and evaluate player performances in the NBA, MLB, NFL, NHL, NCAAM, and PGA TOUR tournaments, crafting insightful game and prop previews.

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