Towson vs. Monmouth prediction: Why Monmouth is favored to win in college football Week 5 [2026]

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

Our leading predictive model currently gives Monmouth a 78.0% chance of beating Towson. Our predicted final score has Monmouth winning 32-23. According to our model, Towson (+10.5) has a 52.7% chance of covering the spread, while the 55.5-point over/under has a 51.1% 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: Towson +10.5 (-110) / Monmouth -10.5 (-113)
• Moneyline: Towson +320, Monmouth -407
• Total: Over/Under 55.5 (-115/-115)

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 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: Towson +10.5 @ -110 via bet365
• Moneyline: Towson @ +320 via bet365
• Total: Over 55.5 @ -115 via bet365

According to our college football best bets, the top play to make on this game is Towson +10.5 at the spread.

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 Monmouth and Towson at Kessler Stadium is scheduled to begin at 1:00 PM ET.

• Who: Towson vs. Monmouth
• Date: Saturday, October 3, 2026
• Time: 1:00 PM ET/10:00AM PT
• Venue: Kessler Stadium

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Conclusion

We predict Monmouth, with a 78.0% win probability, will likely beat Towson 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.