UConn vs. Air Force prediction: Why Air Force is favored to win in college football Week 9 [2026]

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

Our leading predictive model currently gives Air Force a 52.8% chance of beating Connecticut. Our predicted final score has Air Force winning 27-25. According to our model, Connecticut (+3.5) has a 58.8% chance of covering the spread, while the over/under total of 55.5 points has a 57.2% chance of staying under.

Latest betting odds

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

• Spread: UConn +3.5 (-178) / Air Force -3.5 (+174)
• Moneyline: UConn +107, Air Force -104
• Total: Over/Under 55.5 (+130/-138)

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: Air Force -3.5 @ 36¢ via Novig
• Moneyline: Air Force @ 51¢ via Novig
• Total: Over 55.5 @ 44¢ via Novig

According to our best college football bets, the top play to make on this game is Air Force -3.5 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 Air Force and UConn at Falcon Stadium is scheduled to begin at 3:00 PM ET.

• Who: Connecticut vs. Air Force
• Date: Saturday, October 31, 2026
• Time: 3:00 PM ET/12:00 PM PT
• Venue: Falcon Stadium

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Conclusion

We predict Air Force, with a 52.8% 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.