Pennsylvania vs. Cornell prediction: Why Cornell is favored to win in college football Week 10 [2026]

Using powerful machine learning and statistical analysis, we have re-simulated the result of Pennsylvania vs. Cornell, forming part of our college football predictions coverage.

Our leading predictive model currently gives Cornell a 70.2% chance of beating Pennsylvania. Our predicted final score has Cornell winning 26-20. According to our model, Pennsylvania (+7.5) has a 56.3% chance of covering the spread, while the 44.5-point over/under has a 57.2% 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: Pennsylvania +7.5 (-121) / Cornell -7.5 (+100)
• Moneyline: Pennsylvania +233, Cornell -250
• Total: Over/Under 44.5 (-109/-112)

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: Pennsylvania +7.5 @ -121 via BetRivers
• Moneyline: Pennsylvania @ 30¢ via Novig
• Total: Over 44.5 @ -109 via BetRivers

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 Cornell and Pennsylvania at Schoellkopf Field is scheduled to commence at 1:00 PM ET.

• Who: Pennsylvania vs. Cornell
• Date: Saturday, November 7, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Schoellkopf Field

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Conclusion

We predict Cornell, with a 70.2% win probability, will likely beat Pennsylvania 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.