Marist vs. San Diego prediction favors San Diego to win in college football Week 9 [2026]

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

Our independent predictive model gives San Diego a 62.5% chance of beating Marist. Our predicted final score has San Diego winning 27-23. According to our model, Marist (+4.5) has a 50.7% chance of covering the spread, while the 48.5-point over/under has a 56.9% 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: Marist +4.5 (-113) / San Diego -4.5 (-109)
• Moneyline: Marist +163, San Diego -178
• Total: Over/Under 48.5 (-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: Marist +4.5 @ -113 via DraftKings
• Moneyline: Marist @ 38¢ via Novig
• Total: Over 48.5 @ -115 via bet365

According to our college football best bets, the top play to make on this game is Over 48.5 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 San Diego and Marist at Torero Stadium is scheduled to begin at 4:00 PM ET.

• Who: Marist vs. San Diego
• Date: Saturday, October 31, 2026
• Time: 4:00 PM ET/1:00 PM PT
• Venue: Torero Stadium

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Conclusion

We predict San Diego, with a 62.5% win probability, will likely beat Marist 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.