Villanova vs. Lafayette prediction favors Villanova to win in college football Week 9 [2026]

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

Our independent predictive model currently gives Villanova a 73.7% chance of beating Lafayette. Our predicted final score has Villanova winning 29-22. According to our model, Villanova (-7) has a 52.7% chance of covering the spread, while the over/under total of 51.5 points has a 51.2% 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: Villanova -7 (-112) / Lafayette +7 (-110)
• Moneyline: Villanova -251, Lafayette +245
• Total: Over/Under 51.5 (-110/-110)

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 available 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: Villanova -7 @ -112 via DraftKings
• Moneyline: Villanova @ 72¢ via Novig
• Total: Over 51.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Villanova 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 action between Lafayette and Villanova at Fisher Stadium is scheduled to commence at 12:30 PM ET.

• Who: Villanova vs. Lafayette
• Date: Saturday, October 31, 2026
• Time: 12:30 PM ET/9:30 AM PT
• Venue: Fisher Stadium

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Conclusion

We predict Villanova, with a 73.7% win probability, will likely beat Lafayette 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.