Kansas State vs. Colorado prediction: Why Colorado is favored to win in college football Week 9 [2026]

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

Our famous predictive model currently gives Colorado a 62.1% chance of beating Kansas State. Our predicted final score has Colorado winning 26-21. According to our model, Colorado (+2.5) has a 67.9% chance of covering the spread, while the 47.5-point over/under has a 51.7% 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 State -2.5 (+153) / Colorado +2.5 (-167)
• Moneyline: Kansas State +138, Colorado -141
• Total: Over/Under 47.5 (+106/-113)

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 available 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: Colorado +2.5 @ 62¢ via Novig
• Moneyline: Colorado @ 59¢ via Novig
• Total: Over 47.5 @ 48¢ via Novig

According to our college football best bets, the top play to make on this game is Colorado +2.5 at the spread.

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 Colorado and Kansas State at Folsom Field is scheduled to start at 2:00 PM ET.

• Who: Kansas State vs. Colorado
• Date: Saturday, October 31, 2026
• Time: 2:00 PM ET/11:00 AM PT
• Venue: Folsom Field

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Conclusion

We predict Colorado, with a 62.1% win probability, will likely beat Kansas State 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.