Kent State vs. USF prediction favors South Florida to win in college football Week 7 [2026]

Using trusted machine learning and data, we have re-simulated the result of Kent State vs. USF, forming part of our college football predictions coverage.

Our famous predictive model currently gives South Florida a 93.0% chance of defeating Kent State. Our predicted final score has South Florida winning 34-13. According to our model, South Florida (-16.5) has a 59.9% chance of covering the spread, while the over/under total of 49.5 points has a 55.7% chance of staying under.

Latest betting odds

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

• Spread: Kent State +16.5 (+153) / USF -16.5 (-167)
• Moneyline: Kent State +1100, USF -1150
• Total: Over/Under 49.5 (+138/-153)

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: Kent State +16.5 @ 39¢ via Novig
• Moneyline: South Florida @ 92¢ via Novig
• Total: Over 49.5 @ 42¢ via Novig

According to our college football best bets, the top play to make on this game is Over 49.5 total points.

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 game between USF and Kent State at Raymond James Stadium is scheduled to start at 7:00 PM ET.

• Who: Kent State vs. South Florida
• Date: Saturday, October 17, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Raymond James Stadium

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Conclusion

We predict South Florida, with a 93.0% win probability, will likely beat Kent 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.