East Carolina vs. UAB prediction favors East Carolina to win in college football Week 7 [2026]

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

Our independent predictive model gives East Carolina a 61.8% chance of beating UAB. Our predicted final score has East Carolina winning 26-23. According to our model, UAB (+4.5) has a 54.2% chance of covering the spread, while the 48.5-point over/under has a 54.8% 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: East Carolina -4.5 (-112) / UAB +4.5 (-107)
• Moneyline: East Carolina -198, UAB +175
• Total: Over/Under 48.5 (-115/-105)

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: UAB +4.5 @ -107 via bet365
• Moneyline: UAB @ +175 via BetRivers
• Total: Over 48.5 @ -115 via FanDuel

According to our college football best bets, the top play to make on this game is UAB +4.5 at the spread.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Thursday's college football game between UAB and East Carolina at Protective Stadium is scheduled to begin at 7:30 PM ET.

• Who: East Carolina vs. UAB
• Date: Thursday, October 15, 2026
• Time: 7:30 PM ET/4:30PM PT
• Venue: Protective Stadium

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Conclusion

We predict East Carolina, with a 61.8% win probability, will likely beat UAB in Thursday'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.