Princeton vs. Yale prediction favors Yale to win in college football Week 11 [2026]

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

Our independent predictive model gives Yale a 57.1% chance of beating Princeton. Our predicted final score has Yale winning 23-22. According to our model, Princeton (+3.5) has a 54.1% chance of covering the spread, while the over/under total of 44.5 points has a 54.4% 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: Princeton +3.5 (+115) / Yale -3.5 (-109)
• Moneyline: Princeton +150, Yale -153
• Total: Over/Under 44.5 (-110/-109)

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: Princeton +3.5 @ 46¢ via Novig
• Moneyline: Princeton @ 40¢ via Novig
• Total: Over 44.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Princeton +3.5 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 action between Yale and Princeton at Yale Bowl is scheduled to commence at 12:00 PM ET.

• Who: Princeton vs. Yale
• Date: Saturday, November 14, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Yale Bowl

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Conclusion

We predict Yale, with a 57.1% win probability, will likely beat Princeton 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.