Temple vs. Toledo prediction: Why Toledo is favored to win in college football Week 3 [2026]

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

Our leading predictive model currently gives Toledo a 66.4% chance of beating Temple. Our predicted final score has Toledo winning 27-22. According to our model, Toledo (-5.5) has a 50.2% chance of covering the spread, while the over/under total of 48.5 points has a 53.8% 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: Temple +5.5 (-108) / Toledo -5.5 (-106)
• Moneyline: Temple +185, Toledo -205
• Total: Over/Under 48.5 (-110/-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 -5.5 @ -106 via FanDuel
• Moneyline: Toledo @ -205 via FanDuel
• Total: Over 48.5 @ -110 via bet365

According to our college football best bets, the top play to make on this game is Over 48.5 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 Toledo and Temple at Glass Bowl is scheduled to commence at 3:00 PM ET.

• Who: Temple vs. Toledo
• Date: Saturday, September 19, 2026
• Time: 3:00 PM ET/12:00PM PT
• Venue: Glass Bowl

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Conclusion

We predict Toledo, with a 66.4% win probability, will likely beat Temple 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.