South Carolina vs. Alabama prediction: Why Alabama is favored to win in college football Week 4 [2026]

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

Our famous predictive model gives Alabama an 83.2% chance of defeating South Carolina. Our predicted final score has Alabama winning 33-20. According to our model, Alabama (-12.5) has a 50.8% chance of covering the spread, while the 54-point over/under has a 51.5% 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 +12.5 (-110) / Alabama -12.5 (-109)
• Moneyline: South Carolina +400, Alabama -500
• Total: Over/Under 54 (-109/-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 available 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: Alabama -12.5 @ -109 via Caesars
• Moneyline: Alabama @ -500 via Caesars
• Total: Over 54 @ -109 via BetRivers

According to our college football best bets, the top play to make on this game is Alabama 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 game between Alabama and South Carolina at Bryant-Denny Stadium is scheduled to start at 7:00 PM ET.

• Who: South Carolina vs. Alabama
• Date: Saturday, September 26, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Bryant-Denny Stadium

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Conclusion

We predict Alabama, with an 83.2% 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.