Murray State vs. Oklahoma State prediction favors Oklahoma State to win in college football Week 3 [2026]

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

Our famous predictive model currently gives Oklahoma State a 99.7% chance of beating Murray State. Our predicted final score has Oklahoma State winning 60-7. According to our model, Murray State (+55.5) has a 56.8% chance of covering the spread, while the 70.5-point over/under has a 56.5% 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 +55.5 (+100) / Oklahoma State -55.5 (-112)
• Moneyline: Murray State , Oklahoma 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: Under @ -106 via FanDuel

According to our college football best bets, the top play to make on this game is Murray State +55.5.

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 action between Oklahoma State and Murray State at Boone Pickens Stadium is scheduled to commence at 7:00 PM ET.

• Who: Murray State vs. Oklahoma State
• Date: Saturday, September 19, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Boone Pickens Stadium

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Conclusion

We predict Oklahoma State, with a 99.7% 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.