Louisville vs. UNC prediction favors Louisville to win in college football Week 11 [2026]

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

Our famous predictive model gives Louisville a 60.0% chance of beating North Carolina. Our predicted final score has Louisville winning 29-27. According to our model, North Carolina (+3.5) has a 55.3% chance of covering the spread, while the over/under total of 57.5 points has a 50.6% 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: Louisville -3.5 (+102) / UNC +3.5 (-104)
• Moneyline: Louisville -157, UNC +160
• Total: Over/Under 57.5 (-102/-102)

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: North Carolina +3.5 @ 51¢ via Novig
• Moneyline: North Carolina @ 39¢ via Novig
• Total: Over 57.5 @ 50¢ via Novig

According to our college football best bets, the top play to make on this game is North Carolina +3.5 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 matchup between UNC and Louisville at Kenan Stadium is scheduled to start at 7:00 PM ET.

• Who: Louisville vs. North Carolina
• Date: Saturday, November 14, 2026
• Time: 7:00 PM ET/4:00 PM PT
• Venue: Kenan Stadium

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Conclusion

We predict Louisville, with a 60.0% win probability, will likely beat North Carolina 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.