Citadel vs. Mercer prediction: Why Mercer is favored to win in college football Week 9 [2026]

Using innovative machine learning and data, we have re-simulated the result of Citadel vs. Mercer, forming part of our college football predictions coverage.

Our leading predictive model currently gives Mercer a 91.5% chance of beating Citadel. Our predicted final score has Mercer winning 35-17. According to our model, Mercer (-17.5) has a 53.1% chance of covering the spread, while the 52.5-point over/under has a 50.6% 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: Citadel +17.5 (-106) / Mercer -17.5 (+100)
• Moneyline: Citadel +680, Mercer -733
• Total: Over/Under 52.5 (-105/-115)

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: Mercer -17.5 @ 50¢ via Novig
• Moneyline: Mercer @ 88¢ via Novig
• Total: Over 52.5 @ -105 via bet365

According to our best college football bets, the top play to make on this game is Mercer 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 action between Mercer and Citadel at Five Star Stadium is scheduled to start at 3:00 PM ET.

• Who: Citadel vs. Mercer
• Date: Saturday, October 31, 2026
• Time: 3:00 PM ET/12:00 PM PT
• Venue: Five Star Stadium

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Conclusion

We predict Mercer, with a 91.5% win probability, will likely beat Citadel 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.