Robert Morris vs. Buffalo prediction favors Buffalo to win in college football Week 4 [2026]

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

Our famous predictive model gives Buffalo a 97.3% chance of defeating Robert Morris. Our predicted final score has Buffalo winning 38-9. According to our model, Robert Morris (+28.5) has a 51.1% chance of covering the spread, while the over/under total of 46.5 points has a 54.0% 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: Robert Morris +28.5 (-106) / Buffalo -28.5 (-110)
• Moneyline: Robert Morris +2000, Buffalo -5000
• Total: Over/Under 46.5 (-108/-108)

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: Robert Morris +28.5 @ -106 via FanDuel
• Moneyline: Buffalo @ -5000 via bet365
• Total: Over 46.5 @ -108 via FanDuel

According to our college football best 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 Buffalo and Robert Morris at Broadview Stadium is scheduled to commence at 3:30 PM ET.

• Who: Robert Morris vs. Buffalo
• Date: Saturday, September 26, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Broadview Stadium

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Conclusion

We predict Buffalo, with a 97.3% win probability, will likely beat Robert Morris 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.