Drake vs. Davidson prediction favors Drake to win in college football Week 4 [2026]

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

Our leading predictive model currently gives Drake an 81.1% chance of defeating Davidson. Our predicted final score has Drake winning 32-21. According to our model, Drake (-11.5) has a 50.1% chance of covering the spread, while the 53.5-point over/under has a 51.2% 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: Drake -11.5 (-115) / Davidson +11.5 (-107)
• Moneyline: Drake -450, Davidson +355
• Total: Over/Under 53.5 (-115/-104)

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 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 +11.5 @ -107 via DraftKings
• Moneyline: Drake @ -450 via bet365
• Total: Under 53.5 @ -104 via DraftKings

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

• Who: Drake vs. Davidson
• Date: Saturday, September 26, 2026
• Time: 1:00 PM ET/10:00AM PT
• Venue: Davidson College Stadium

College football Week 4 promos

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Conclusion

We predict Drake, with an 81.1% 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.