Stanford vs. Louisville prediction favors Louisville to win in college football Week 9 [2026]

Using trusted machine learning and data, we have re-simulated the result of Stanford vs. Louisville, forming part of our college football predictions coverage.

Our leading predictive model gives Louisville a 95.1% chance of beating Stanford. Our predicted final score has Louisville winning 41-18. According to our model, Louisville (-20.5) has a 57.3% chance of covering the spread, while the over/under total of 62.5 points has a 57.3% 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: Stanford +20.5 (+133) / Louisville -20.5 (-135)
• Moneyline: Stanford +1329, Louisville -1438
• Total: Over/Under 62.5 (+127/-133)

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: Louisville -20.5 @ 58¢ via Novig
• Moneyline: Louisville @ 93¢ via Novig
• Total: Under 62.5 @ 57¢ via Novig

According to our college football best bets, the top play to make on this game is Louisville 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 game between Louisville and Stanford at L&N Federal Credit Union Stadium is scheduled to start at 3:15 PM ET.

• Who: Stanford vs. Louisville
• Date: Saturday, October 31, 2026
• Time: 3:15 PM ET/12:15 PM PT
• Venue: L&N Federal Credit Union Stadium

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Conclusion

We predict Louisville, with a 95.1% win probability, will likely beat Stanford 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.