Baylor vs. Kansas prediction favors Kansas to win in college football Week 8 [2026]

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

Our independent predictive model currently gives Kansas a 51.6% chance of beating Baylor. Our predicted final score has Kansas winning 27-26. According to our model, Kansas (+2.5) has a 57.0% chance of covering the spread, while the over/under total of 53.5 points has a 51.1% chance of going over.

Latest betting odds

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

• Spread: Baylor -2.5 (+115) / Kansas +2.5 (-120)
• Moneyline: Baylor -104, Kansas +102
• Total: Over/Under 53.5 (+100/-104)

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: Kansas +2.5 @ 55¢ via Novig
• Moneyline: Kansas @ 50¢ via Novig
• Total: Over 53.5 @ 50¢ via Novig

According to our college football best bets, the top play to make on this game is Kansas +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 action between Kansas and Baylor at David Booth Kansas Memorial Stadium is scheduled to start at 1:00 PM ET.

• Who: Baylor vs. Kansas
• Date: Saturday, October 24, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: David Booth Kansas Memorial Stadium

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Conclusion

We predict Kansas, with a 51.6% win probability, will likely beat Baylor 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.