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

Using powerful machine learning and data, we have re-simulated the outcome of Houston vs. Kansas State, forming part of our college football predictions coverage.

Our leading predictive model gives Kansas State a 54.3% chance of beating Houston. Our predicted final score has Kansas State winning 28-26. According to our model, Houston (+2.5) has a 50.9% chance of covering the spread, while the 55.5-point over/under has a 51.7% chance of staying under.

Latest betting odds

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

• Spread: Houston +2.5 (-110) / Kansas State -2.5 (-106)
• Moneyline: Houston +120, Kansas State -126
• Total: Over/Under 55.5 (-102/-114)

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: Houston +2.5 @ -110 via Caesars
• Moneyline: Houston @ +120 via Caesars
• Total: Under 55.5 @ -114 via FanDuel

According to our college football best bets, the top play to make on this game is Houston to win.

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 matchup between Kansas State and Houston at Bill Snyder Family Stadium is scheduled to begin at 3:30 PM ET.

• Who: Houston vs. Kansas State
• Date: Saturday, October 10, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Bill Snyder Family Stadium

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Conclusion

We predict Kansas State, with a 54.3% win probability, will likely beat Houston 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.