Harvard vs. Brown prediction favors Harvard to win in college football Week 4 [2026]

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

Our famous predictive model gives Harvard an 81.2% chance of defeating Brown. Our predicted final score has Harvard winning 28-16. According to our model, Brown (+13.5) has a 55.1% chance of covering the spread, while the 42.5-point over/under has a 55.4% 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: Harvard -13.5 (-111) / Brown +13.5 (-110)
• Moneyline: Harvard -590, Brown +417
• Total: Over/Under 42.5 (-111/-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: Brown +13.5 @ -110 via Caesars
• Moneyline: Brown @ +417 via DraftKings
• Total: Over 42.5 @ -111 via DraftKings

According to our college football best bets, the top play to make on this game is Brown +13.5 at the spread.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Friday's college football matchup between Brown and Harvard at Centreville Bank Stadium is scheduled to begin at 7:00 PM ET.

• Who: Harvard vs. Brown
• Date: Friday, September 25, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Centreville Bank Stadium

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Conclusion

We predict Harvard, with an 81.2% win probability, will likely beat Brown in Friday'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.