Columbia vs. Georgetown prediction favors Columbia to win in college football Week 4 [2026]

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

Our independent predictive model currently gives Columbia a 70.0% chance of beating Georgetown. Our predicted final score has Columbia winning 30-22. According to our model, Columbia (-7) has a 50.1% chance of covering the spread, while the over/under total of 52.5 points has a 50.3% 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: Columbia -7 (+106) / Georgetown +7 (-132)
• Moneyline: Columbia -211, Georgetown +175
• Total: Over/Under 52.5 (-107/-115)

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Columbia -7 @ +106 via DraftKings
• Moneyline: Columbia @ -211 via DraftKings
• Total: Over 52.5 @ -107 via DraftKings

According to our college football best bets, the top play to make on this game is Columbia 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 Georgetown and Columbia at Cooper Field is scheduled to start at 12:30 PM ET.

• Who: Columbia vs. Georgetown
• Date: Saturday, September 26, 2026
• Time: 12:30 PM ET/9:30AM PT
• Venue: Cooper Field

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Conclusion

We predict Columbia, with a 70.0% win probability, will likely beat Georgetown 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.