South Alabama vs. Kentucky prediction favors Kentucky to win in college football Week 4 [2026]

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

Our leading predictive model gives Kentucky a 93.6% chance of beating South Alabama. Our predicted final score has Kentucky winning 37-16. According to our model, Kentucky (-20.5) has a 51.3% chance of covering the spread, while the 54.5-point over/under has a 50.9% 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: South Alabama +20.5 (-109) / Kentucky -20.5 (-110)
• Moneyline: South Alabama +920, Kentucky -1400
• Total: Over/Under 54.5 (-110/-110)

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: Kentucky -20.5 @ -110 via Caesars
• Moneyline: Kentucky @ -1400 via bet365
• Total: Under 54.5 @ -110 via FanDuel

According to our best college football bets, the top play to make on this game is Kentucky to win.

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 Kentucky and South Alabama at Kroger Field is scheduled to commence at 12:45 PM ET.

• Who: South Alabama vs. Kentucky
• Date: Saturday, September 26, 2026
• Time: 12:45 PM ET/9:45AM PT
• Venue: Kroger Field

College football Week 4 promos

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Conclusion

We predict Kentucky, with a 93.6% win probability, will likely beat South Alabama 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.