UConn vs. Miami Ohio prediction: Why Miami Ohio is favored to win in college football Week 4 [2026]

Using trusted machine learning and data, we have re-simulated the outcome of UConn vs. Miami Ohio, forming part of our college football predictions coverage.

Our famous predictive model currently gives Miami Ohio a 54.2% chance of defeating Connecticut. Our predicted final score has Miami Ohio winning 26-25. According to our model, Connecticut (+2.5) has a 52.9% chance of covering the spread, while the 52.5-point over/under has a 50.5% 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: UConn +2.5 (-107) / Miami Ohio -2.5 (-105)
• Moneyline: UConn +120, Miami Ohio -130
• Total: Over/Under 52.5 (-105/-110)

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Connecticut +2.5 @ -107 via BetRivers
• Moneyline: Connecticut @ +120 via DraftKings
• Total: Over 52.5 @ -105 via bet365

According to our college football best bets, the top play to make on this game is Connecticut 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 Miami Ohio and UConn at Fred C. Yager Stadium is scheduled to start at 3:30 PM ET.

• Who: Connecticut vs. Miami Ohio
• Date: Saturday, September 26, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Fred C. Yager Stadium

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Conclusion

We predict Miami Ohio, with a 54.2% 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.