Buffalo vs. Toledo prediction: Why Toledo is favored to win Week 6 MACtion clash

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

Our famous predictive model currently gives Toledo a 91.1% chance of defeating Buffalo. Our predicted final score has Toledo winning 37-18. According to our model, Buffalo (+19.5) has a 52.4% chance of covering the spread, while the 55.5-point over/under has a 50.8% 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: Buffalo +19.5 (-115) / Toledo -19.5 (-105)
• Moneyline: Buffalo +810, Toledo -1200
• Total: Over/Under 55.5 (-102/-112)

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: Buffalo +19.5 @ -115 via FanDuel
• Moneyline: Toledo @ -1200 via DraftKings
• Total: Over 55.5 @ -102 via FanDuel

According to our college football best bets, the top play to make on this game is Over 55.5 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 game between Toledo and Buffalo at Glass Bowl is scheduled to start at 3:30 PM ET.

• Who: Buffalo vs. Toledo
• Date: Saturday, October 10, 2026
• Time: 3:30 PM ET/12:30PM PT
• Venue: Glass Bowl

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Conclusion

We predict Toledo, with a 91.1% win probability, will likely beat Buffalo 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.