Syracuse vs. UConn prediction: Why Syracuse is favored to win in college football Week 5 [2026]

Using powerful machine learning and data, we have re-simulated the result of Syracuse vs. UConn, forming part of our college football predictions coverage.

Our independent predictive model gives Syracuse a 66.7% chance of defeating Connecticut. Our predicted final score has Syracuse winning 28-23. According to our model, Connecticut (+6.5) has a 54.1% chance of covering the spread, while the over/under total of 50.5 points has a 52.3% 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: Syracuse -6.5 (-115) / UConn +6.5 (+100)
• Moneyline: Syracuse -245, UConn +215
• Total: Over/Under 50.5 (-108/-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: Connecticut +6.5 @ +100 via Caesars
• Moneyline: Connecticut @ +215 via BetRivers
• Total: Over 50.5 @ -108 via DraftKings

According to our college football best bets, the top play to make on this game is Connecticut +6.5 at the spread.

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

Game info & kickoff details

Saturday's college football matchup between UConn and Syracuse at Pratt and Whitney Stadium at Rentschler Field is scheduled to begin at 12:00 PM ET.

• Who: Syracuse vs. Connecticut
• Date: Saturday, October 3, 2026
• Time: 12:00 PM ET/9:00AM PT
• Venue: Pratt and Whitney Stadium at Rentschler Field

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Conclusion

We predict Syracuse, with a 66.7% win probability, will likely beat Connecticut 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.