VMI vs. Davidson prediction favors VMI to win in college football Week 3 [2026]

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

Our leading predictive model gives VMI a 57.7% chance of beating Davidson. Our predicted final score has VMI winning 23-20. According to our model, Davidson (+4) has a 51.4% chance of covering the spread, while the over/under total of 42.5 points has a 55.2% 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: VMI -4 (-110) / Davidson +4 (-113)
• Moneyline: VMI -156, Davidson +135
• Total: Over/Under 42.5 (-110/-110)

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: Davidson +4 @ -113 via DraftKings
• Moneyline: Davidson @ +135 via bet365
• Total: Over 42.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Over 42.5 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 game between Davidson and VMI at Davidson College Stadium is scheduled to begin at 1:00 PM ET.

• Who: VMI vs. Davidson
• Date: Saturday, September 19, 2026
• Time: 1:00 PM ET/10:00AM PT
• Venue: Davidson College Stadium

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Conclusion

We predict VMI, with a 57.7% win probability, will likely beat Davidson 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.