Richmond vs. Villanova prediction favors Villanova to win in college football Week 10 [2026]

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

Our famous predictive model currently gives Villanova an 81.1% chance of defeating Richmond. Our predicted final score has Villanova winning 29-18. According to our model, Villanova (-8.5) has a 55.6% chance of covering the spread, while the over/under total of 47.5 points has a 53.6% 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: Richmond +8.5 (-110) / Villanova -8.5 (-107)
• Moneyline: Richmond +317, Villanova -326
• Total: Over/Under 47.5 (+100/-106)

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 -8.5 @ -107 via BetRivers
• Moneyline: Villanova @ 76¢ via Novig
• Total: Over 47.5 @ 50¢ via Novig

According to our best college football 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 matchup between Villanova and Richmond at Villanova Stadium is scheduled to start at 1:00 PM ET.

• Who: Richmond vs. Villanova
• Date: Saturday, November 7, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Villanova Stadium

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Conclusion

We predict Villanova, with an 81.1% win probability, will likely beat Richmond 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.