Louisville vs. Syracuse prediction favors Louisville to win in college football Week 7 [2026]

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

Our independent predictive model gives Louisville an 85.9% chance of beating Syracuse. Our predicted final score has Louisville winning 35-20. According to our model, Louisville (-14.5) has a 50.4% chance of covering the spread, while the over/under total of 55.5 points has a 50.5% 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 -14.5 (-108) / Syracuse +14.5 (-108)
• Moneyline: Louisville -650, Syracuse +500
• Total: Over/Under 55.5 (-110/-107)

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 -14.5 @ -108 via Caesars
• Moneyline: Louisville @ -650 via bet365
• Total: Over 55.5 @ -110 via Caesars

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 Syracuse and Louisville at JMA Wireless Dome is scheduled to start at 7:30 PM ET.

• Who: Louisville vs. Syracuse
• Date: Saturday, October 17, 2026
• Time: 7:30 PM ET/4:30PM PT
• Venue: JMA Wireless Dome

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Conclusion

We predict Louisville, with an 85.9% win probability, will likely beat Syracuse 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.