Georgetown vs. Richmond prediction: Why Richmond is favored to win in college football Week 3 [2026]

Using innovative machine learning and data, we have re-simulated the outcome of Georgetown vs. Richmond, forming part of our college football predictions coverage.

Our independent predictive model gives Richmond an 82.6% chance of beating Georgetown. Our predicted final score has Richmond winning 30-18. According to our model, Georgetown (+12.5) has a 52.0% chance of covering the spread, while the 47.5-point over/under has a 53.6% 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: Georgetown +12.5 (-105) / Richmond -12.5 (-115)
• Moneyline: Georgetown +450, Richmond -573
• Total: Over/Under 47.5 (-113/-105)

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 available 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: Georgetown +12.5 @ -105 via bet365
• Moneyline: Georgetown @ +450 via bet365
• Total: Over 47.5 @ -113 via DraftKings

According to our college football best bets, the top play to make on this game is Georgetown +12.5 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 matchup between Richmond and Georgetown at E. Claiborne Robins Stadium is scheduled to start at 3:30 PM ET.

• Who: Georgetown vs. Richmond
• Date: Saturday, September 19, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: E. Claiborne Robins Stadium

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Conclusion

We predict Richmond, with an 82.6% 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.