Villanova vs. Holy Cross prediction favors Villanova to win in college football Week 11 [2026]

Using innovative machine learning and statistical analysis, we have re-simulated the outcome of Villanova vs. Holy Cross, forming part of our college football predictions coverage.

Our independent predictive model gives Villanova a 71.4% chance of defeating Holy Cross. Our predicted final score has Villanova winning 28-22. According to our model, Holy Cross (+6.5) has a 50.5% chance of covering the spread, while the over/under total of 50.5 points has a 53.1% 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 -6.5 (-117) / Holy Cross +6.5 (+104)
• Moneyline: Villanova -264, Holy Cross +257
• Total: Over/Under 50.5 (-113/-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 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: Holy Cross +6.5 @ 49¢ via Novig
• Moneyline: Holy Cross @ 28¢ via Novig
• Total: Over 50.5 @ -113 via DraftKings

According to our college football best bets, the top play to make on this game is Holy Cross +6.5 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 game between Holy Cross and Villanova at Fitton Field is scheduled to start at 12:00 PM ET.

• Who: Villanova vs. Holy Cross
• Date: Saturday, November 14, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Fitton Field

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Conclusion

We predict Villanova, with a 71.4% win probability, will likely beat Holy Cross 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.