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

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

Our independent predictive model gives Richmond a 55.7% chance of defeating Furman. Our predicted final score has Richmond winning 23-21. According to our model, Furman (+3) has a 52.3% chance of covering the spread, while the over/under total of 44.5 points has a 53.4% 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: Furman +3 (+110) / Richmond -3 (-136)
• Moneyline: Furman +142, Richmond -155
• Total: Over/Under 44.5 (+108/-135)

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: Furman +3 @ +110 via DraftKings
• Moneyline: Furman @ +142 via DraftKings
• Total: Over 44.5 @ +108 via DraftKings

According to our college football best bets, the top play to make on this game is Over 44.5 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 Richmond and Furman at E. Claiborne Robins Stadium is scheduled to commence at 2:00 PM ET.

• Who: Furman vs. Richmond
• Date: Saturday, September 26, 2026
• Time: 2:00 PM ET/11:00AM PT
• Venue: E. Claiborne Robins Stadium

College football Week 4 promos

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Conclusion

We predict Richmond, with a 55.7% win probability, will likely beat Furman 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.