USF vs. Bowling Green prediction favors South Florida to win in college football Week 4 [2026]

Using innovative machine learning and data analysis, we have re-simulated the outcome of USF vs. Bowling Green, forming part of our college football predictions coverage.

Our leading predictive model currently gives South Florida an 89.8% chance of defeating Bowling Green. Our predicted final score has South Florida winning 33-15. According to our model, Bowling Green (+18.5) has a 52.0% chance of covering the spread, while the 48.5-point over/under has a 52.6% chance of going over.

Latest betting odds

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

• Spread: USF -18.5 (-104) / Bowling Green +18.5 (-110)
• Moneyline: USF -1000, Bowling Green +700
• Total: Over/Under 48.5 (-110/-107)

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: Bowling Green +18.5 @ -110 via bet365
• Moneyline: South Florida @ -1000 via FanDuel
• Total: Over 48.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Over 48.5 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 Bowling Green and USF at Doyt L. Perry Stadium is scheduled to begin at 5:00 PM ET.

• Who: South Florida vs. Bowling Green
• Date: Saturday, September 26, 2026
• Time: 5:00 PM ET/2:00PM PT
• Venue: Doyt L. Perry Stadium

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Conclusion

We predict South Florida, with an 89.8% win probability, will likely beat Bowling Green 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.