Stony Brook vs. Towson prediction: Why Stony Brook is favored to win in college football Week 6 [2026]

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

Our famous predictive model currently gives Stony Brook a 64.8% chance of beating Towson. Our predicted final score has Stony Brook winning 31-25. According to our model, Stony Brook (-6.5) has a 50.7% chance of covering the spread, while the 57.5-point over/under has a 50.1% 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: Stony Brook -6.5 (-125) / Towson +6.5 (-105)
• Moneyline: Stony Brook -211, Towson +185
• Total: Over/Under 57.5 (-113/-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: Towson +6.5 @ -105 via bet365
• Moneyline: Towson @ +185 via bet365
• Total: Under 57.5 @ -110 via DraftKings

According to our college football best bets, the top play to make on this game is Towson 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 Towson and Stony Brook at Minnegan Field at Johnny Unitas Stadium is scheduled to commence at 4:00 PM ET.

• Who: Stony Brook vs. Towson
• Date: Saturday, October 10, 2026
• Time: 4:00 PM ET/1:00PM PT
• Venue: Minnegan Field at Johnny Unitas Stadium

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Conclusion

We predict Stony Brook, with a 64.8% win probability, will likely beat Towson in Saturday's college football matchup.

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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.