Howard vs. Hampton prediction favors Howard to win in college football Week 5 [2026]

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

Our independent predictive model gives Howard a 74.9% chance of beating Hampton. Our predicted final score has Howard winning 27-19. According to our model, Hampton (+9.5) has a 53.0% chance of covering the spread, while the over/under total of 45.5 points has a 52.9% 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: Howard -9.5 (-110) / Hampton +9.5 (-110)
• Moneyline: Howard -358, Hampton +285
• Total: Over/Under 45.5 (-105/-125)

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 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: Hampton +9.5 @ -110 via bet365
• Moneyline: Hampton @ +285 via Caesars
• Total: Over 45.5 @ -105 via bet365

According to our college football best bets, the top play to make on this game is Over 45.5 total points.

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 action between Hampton and Howard at Audi Field is scheduled to begin at 3:00 PM ET.

• Who: Howard vs. Hampton
• Date: Saturday, October 3, 2026
• Time: 3:00 PM ET/12:00PM PT
• Venue: Audi Field

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Conclusion

We predict Howard, with a 74.9% win probability, will likely beat Hampton 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.