South Carolina vs. Oklahoma prediction favors Oklahoma to win in college football Week 9 [2026]

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

Our famous predictive model gives Oklahoma a 62.7% chance of beating South Carolina. Our predicted final score has Oklahoma winning 25-20. According to our model, South Carolina (+5.5) has a 52.0% chance of covering the spread, while the over/under total of 43.5 points has a 56.9% 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: South Carolina +5.5 (-133) / Oklahoma -5.5 (+127)
• Moneyline: South Carolina +150, Oklahoma -152
• Total: Over/Under 43.5 (-115/+113)

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 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: Oklahoma -5.5 @ 44¢ via Novig
• Moneyline: Oklahoma @ -152 via FanDuel
• Total: Over 43.5 @ 53¢ via Novig

According to our college football best bets, the top play to make on this game is Oklahoma -5.5 at the spread.

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 and South Carolina at Gaylord Family Oklahoma Memorial Stadium is scheduled to commence at 4:15 PM ET.

• Who: South Carolina vs. Oklahoma
• Date: Saturday, October 31, 2026
• Time: 4:15 PM ET/1:15 PM PT
• Venue: Gaylord Family Oklahoma Memorial Stadium

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Conclusion

We predict Oklahoma, with a 62.7% win probability, will likely beat South Carolina 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.