Yale vs. Cornell prediction: Why Yale is favored to win in college football Week 4 [2026]

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

Our famous predictive model gives Yale an 81.4% chance of defeating Cornell. Our predicted final score has Yale winning 31-17. According to our model, Yale (-14) has a 50.5% chance of covering the spread, while the 48.5-point over/under has a 52.7% 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: Yale -14 (-109) / Cornell +14 (-113)
• Moneyline: Yale -429, Cornell +350
• Total: Over/Under 48.5 (-115/-105)

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: Yale -14 @ -109 via DraftKings
• Moneyline: Yale @ -429 via DraftKings
• Total: Over 48.5 @ -115 via bet365

According to our college football best bets, the top play to make on this game is Yale 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 matchup between Cornell and Yale at Schoellkopf Field is scheduled to begin at 1:00 PM ET.

• Who: Yale vs. Cornell
• Date: Saturday, September 26, 2026
• Time: 1:00 PM ET/10:00AM PT
• Venue: Schoellkopf Field

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Conclusion

We predict Yale, with an 81.4% 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.