Lehigh vs. Richmond prediction: Why Lehigh is favored to win in college football Week 11 [2026]

Using trusted machine learning and statistical analysis, we have re-simulated the outcome of Lehigh vs. Richmond, forming part of our college football predictions coverage.

Our leading predictive model currently gives Lehigh an 87.2% chance of defeating Richmond. Our predicted final score has Lehigh winning 30-16. According to our model, Lehigh (-13.5) has a 52.4% chance of covering the spread, while the 46.5-point over/under has a 51.4% 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: Lehigh -13.5 (-110) / Richmond +13.5 (-110)
• Moneyline: Lehigh -488, Richmond +500
• Total: Over/Under 46.5 (+102/-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: Lehigh -13.5 @ -110 via BetRivers
• Moneyline: Lehigh @ 83¢ via Novig
• Total: Over 46.5 @ 50¢ via Novig

According to our college football best bets, the top play to make on this game is Lehigh 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 Richmond and Lehigh at E. Claiborne Robins Stadium is scheduled to begin at 2:00 PM ET.

• Who: Lehigh vs. Richmond
• Date: Saturday, November 14, 2026
• Time: 2:00 PM ET/11:00 AM PT
• Venue: E. Claiborne Robins Stadium

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Conclusion

We predict Lehigh, with an 87.2% 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.