Butler vs. Drake prediction favors Butler to win in college football Week 8 [2026]

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

Our leading predictive model currently gives Butler a 58.1% chance of beating Drake. Our predicted final score has Butler winning 29-26. According to our model, Butler (-1.5) has a 57.3% chance of covering the spread, while the over/under total of 54.5 points has a 50.4% 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: Butler -1.5 (-125) / Drake +1.5 (-105)
• Moneyline: Butler -135, Drake +130
• Total: Over/Under 54.5 (-127/+122)

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: Butler -1.5 @ -125 via bet365
• Moneyline: Butler @ 58¢ via Novig
• Total: Under 54.5 @ 45¢ via Novig

According to our college football best bets, the top play to make on this game is Under 54.5 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 Drake and Butler at Drake Stadium is scheduled to start at 1:00 PM ET.

• Who: Butler vs. Drake
• Date: Saturday, October 24, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Drake Stadium

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Conclusion

We predict Butler, with a 58.1% win probability, will likely beat Drake 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.