Princeton vs. Harvard prediction favors Harvard to win in college football Week 8 [2026]

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

Our independent predictive model gives Harvard a 74.7% chance of beating Princeton. Our predicted final score has Harvard winning 25-16. According to our model, Princeton (+10.5) has a 53.8% chance of covering the spread, while the over/under total of 39.5 points has a 56.8% chance of going over.

Latest betting odds

We have researched the best college football odds in America for this game, which are listed here:

• Spread: Princeton +10.5 (-110) / Harvard -10.5 (+113)
• Moneyline: Princeton +285, Harvard -308
• Total: Over/Under 39.5 (-112/-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 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 +10.5 @ -110 via DraftKings
• Moneyline: Princeton @ 26¢ via Novig
• Total: Over 39.5 @ -112 via DraftKings

According to our college football best bets, the top play to make on this game is Over 39.5 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 matchup between Harvard and Princeton at Harvard Stadium is scheduled to begin at 3:00 PM ET.

• Who: Princeton vs. Harvard
• Date: Saturday, October 24, 2026
• Time: 3:00 PM ET/12:00 PM PT
• Venue: Harvard Stadium

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Conclusion

We predict Harvard, with a 74.7% 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.