UMass vs. Toledo prediction: Why Toledo is favored to win Week 11 MACtion clash

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

Our independent predictive model currently gives Toledo an 85.9% chance of defeating Massachusetts. Our predicted final score has Toledo winning 33-18. According to our model, Toledo (-14.5) has a 50.3% chance of covering the spread, while the over/under total of 51.5 points has a 51.8% 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: UMass +14.5 (-111) / Toledo -14.5 (+108)
• Moneyline: UMass +488, Toledo -525
• Total: Over/Under 51.5 (-104/+102)

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: Toledo -14.5 @ 48¢ via Novig
• Moneyline: Toledo @ 84¢ via Novig
• Total: Over 51.5 @ 51¢ via Novig

According to our college football best bets, the top play to make on this game is Toledo -14.5 at the spread.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Wednesday's college football action between Toledo and UMass at Glass Bowl is scheduled to start at 7:30 PM ET.

• Who: Massachusetts vs. Toledo
• Date: Wednesday, November 11, 2026
• Time: 7:30 PM ET/4:30 PM PT
• Venue: Glass Bowl

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Conclusion

We predict Toledo, with an 85.9% win probability, will likely beat Massachusetts in Wednesday'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.