Villanova vs. Fordham prediction favors Villanova to win in college football Week 7 [2026]

Using powerful machine learning and data, we have re-simulated the outcome of Villanova vs. Fordham, forming part of our college football predictions coverage.

Our leading predictive model gives Villanova a 67.3% chance of beating Fordham. Our predicted final score has Villanova winning 26-19. According to our model, Villanova (-5.5) has a 51.3% chance of covering the spread, while the 44.5-point over/under has a 55.3% 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 -5.5 (-110) / Fordham +5.5 (-112)
• Moneyline: Villanova -220, Fordham +180
• Total: Over/Under 44.5 (-120/-103)

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 -5.5 @ -110 via Caesars
• Moneyline: Villanova @ -220 via Caesars
• Total: Over 44.5 @ -120 via DraftKings

According to our college football best bets, the top play to make on this game is Over 44.5 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 action between Fordham and Villanova at Moglia Stadium at Jack Coffey Field is scheduled to start at 3:30 PM ET.

• Who: Villanova vs. Fordham
• Date: Saturday, October 17, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Moglia Stadium at Jack Coffey Field

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Conclusion

We predict Villanova, with a 67.3% win probability, will likely beat Fordham 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.