Merrimack vs. Dartmouth prediction favors Dartmouth to win in college football Week 7 [2026]

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

Our independent predictive model gives Dartmouth a 79.5% chance of beating Merrimack. Our predicted final score has Dartmouth winning 28-18. According to our model, Dartmouth (-8.5) has a 54.6% chance of covering the spread, while the 45.5-point over/under has a 53.5% 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: Merrimack +8.5 (-115) / Dartmouth -8.5 (-115)
• Moneyline: Merrimack +268, Dartmouth -357
• Total: Over/Under 45.5 (-110/-120)

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 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: Dartmouth -8.5 @ -115 via bet365
• Moneyline: Dartmouth @ -357 via DraftKings
• Total: Over 45.5 @ -110 via bet365

According to our best college football bets, the top play to make on this game is Dartmouth 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 Dartmouth and Merrimack at Memorial Field is scheduled to commence at 1:00 PM ET.

• Who: Merrimack vs. Dartmouth
• Date: Saturday, October 17, 2026
• Time: 1:00 PM ET/10:00AM PT
• Venue: Memorial Field

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Conclusion

We predict Dartmouth, with a 79.5% win probability, will likely beat Merrimack 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.