Bucknell vs. VMI prediction favors Bucknell to win in college football Week 2 [2026]

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

Our famous predictive model currently gives Bucknell a 74.9% chance of defeating VMI. Our predicted final score has Bucknell winning 28-19. According to our model, VMI (+9.5) has a 51.6% chance of covering the spread, while the over/under total of 46.5 points has a 55.2% 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: Bucknell -9.5 (-109) / VMI +9.5 (-105)
• Moneyline: Bucknell -327, VMI +275
• Total: Over/Under 46.5 (-115/-107)

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 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: VMI +9.5 @ -105 via bet365
• Moneyline: Bucknell @ -327 via DraftKings
• Total: Over 46.5 @ -115 via Caesars

According to our best college football bets, the top play to make on this game is Over 46.5 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 matchup between VMI and Bucknell at Alumni Memorial Field at Foster Stadium is scheduled to start at 12:30 PM ET.

• Who: Bucknell vs. VMI
• Date: Saturday, September 12, 2026
• Time: 12:30 PM ET/9:30AM PT
• Venue: Alumni Memorial Field at Foster Stadium

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Conclusion

We predict Bucknell, with a 74.9% win probability, will likely beat VMI 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.