New Haven vs. South Dakota State prediction favors South Dakota State to win in college football Week 2 [2026]

Using innovative machine learning and statistical analysis, we have re-simulated the outcome of New Haven vs. South Dakota State, forming part of our college football predictions coverage.

Our independent predictive model currently gives South Dakota State a 99.6% chance of beating New Haven. Our predicted final score has South Dakota State winning 48-6. According to our model, New Haven (+44) has a 55.1% chance of covering the spread, while the 54.5-point over/under has a 52.9% 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: New Haven +44 (-109) / South Dakota State -44 (-113)
• Moneyline: New Haven , South Dakota State

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:

• Moneyline: Over @ -113 via DraftKings

According to our college football best bets, the top play to make on this game is New Haven +44.

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 South Dakota State and New Haven at Dana J. Dykhouse Stadium is scheduled to begin at 7:00 PM ET.

• Who: New Haven vs. South Dakota State
• Date: Saturday, September 12, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Dana J. Dykhouse Stadium

College football Week 2 promos

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Conclusion

We predict South Dakota State, with a 99.6% win probability, will likely beat New Haven 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.