Kansas vs. Utah prediction favors Utah to win in college football Week 6 [2026]

Using innovative machine learning and data, we have re-simulated the result of Kansas vs. Utah, forming part of our college football predictions coverage.

Our famous predictive model gives Utah an 87.0% chance of defeating Kansas. Our predicted final score has Utah winning 32-17. According to our model, Kansas (+15.5) has a 50.2% chance of covering the spread, while the over/under total of 49.5 points has a 52.5% chance of going over.

Latest betting odds

We have researched the best college football odds in America for this game, which are listed here:

• Spread: Kansas +15.5 (-110) / Utah -15.5 (-108)
• Moneyline: Kansas +570, Utah -700
• Total: Over/Under 49.5 (-106/-107)

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

Model picks and best bet

After matching our predictions against the best current odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

• Spread: Utah -15.5 @ -108 via Caesars
• Moneyline: Utah @ -700 via DraftKings
• Total: Over 49.5 @ -106 via FanDuel

According to our college football best bets, the top play to make on this game is Over 49.5 total points.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Saturday's college football game between Utah and Kansas at Rice-Eccles Stadium is scheduled to begin at 8:00 PM ET.

• Who: Kansas vs. Utah
• Date: Saturday, October 10, 2026
• Time: 8:00 PM ET/5:00PM PT
• Venue: Rice-Eccles Stadium

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Conclusion

We predict Utah, with an 87.0% win probability, will likely beat Kansas in Saturday's college football matchup.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary College Football prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.