Murray State vs. South Dakota State prediction favors South Dakota State to win in college football Week 8 [2026]

Using trusted machine learning and data, we have re-simulated the outcome of Murray State vs. South Dakota State, forming part of our college football predictions coverage.

Our leading predictive model currently gives South Dakota State a 99.1% chance of defeating Murray State. Our predicted final score has South Dakota State winning 48-9. According to our model, Murray State (+40.5) has a 52.8% chance of covering the spread, while the 58.5-point over/under has a 53.3% chance of staying under.

Latest betting odds

We have researched the best college football odds in America for this game, which are listed here:

• Spread: Murray State +40.5 (-110) / South Dakota State -40.5 (-112)
• Moneyline: Murray State , 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 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:

• Moneyline: Under @ -120 via Bet365

According to our college football best bets, the top play to make on this game is Murray State +40.5.

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 South Dakota State and Murray State at Dana J. Dykhouse Stadium is scheduled to start at 3:00 PM ET.

• Who: Murray State vs. South Dakota State
• Date: Saturday, October 24, 2026
• Time: 3:00 PM ET/12:00 PM PT
• Venue: Dana J. Dykhouse Stadium

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Conclusion

We predict South Dakota State, with a 99.1% win probability, will likely beat Murray State 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.