Cornell vs. Princeton prediction: Why Princeton is favored to win in college football Week 9 [2026]

Using innovative machine learning and data, we have re-simulated the outcome of Cornell vs. Princeton, forming part of our college football predictions coverage.

Our famous predictive model gives Princeton a 54.3% chance of beating Cornell. Our predicted final score has Princeton winning 24-23. According to our model, Cornell (+2.5) has a 51.5% chance of covering the spread, while the 47.5-point over/under has a 51.6% 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: Cornell +2.5 (-112) / Princeton -2.5 (-110)
• Moneyline: Cornell +122, Princeton -127
• Total: Over/Under 47.5 (-110/-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 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: Cornell +2.5 @ -112 via DraftKings
• Moneyline: Cornell @ 45¢ via Novig
• Total: Over 47.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Cornell 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 Princeton and Cornell at Powers Field at Princeton Stadium is scheduled to commence at 12:00 PM ET.

• Who: Cornell vs. Princeton
• Date: Saturday, October 31, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Powers Field at Princeton Stadium

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Conclusion

We predict Princeton, with a 54.3% win probability, will likely beat Cornell 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.