Western Michigan vs. Toledo prediction: Why Toledo is favored to win Week 8 MACtion clash

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

Our famous predictive model currently gives Toledo a 56.6% chance of beating Western Michigan. Our predicted final score has Toledo winning 25-23. According to our model, Toledo (-1.5) has a 51.8% chance of covering the spread, while the over/under total of 47 points has a 54.6% 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: Western Michigan +1.5 (+113) / Toledo -1.5 (-117)
• Moneyline: Western Michigan +127, Toledo -133
• Total: Over/Under 47 (-107/-113)

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 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: Western Michigan +1.5 @ 47¢ via Novig
• Moneyline: Toledo @ 57¢ via Novig
• Total: Over 47 @ -107 via Caesars

According to our college football best bets, the top play to make on this game is Over 47 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 action between Toledo and Western Michigan at Glass Bowl is scheduled to commence at 12:00 PM ET.

• Who: Western Michigan vs. Toledo
• Date: Saturday, October 24, 2026
• Time: 12:00 PM ET/9:00 AM PT
• Venue: Glass Bowl

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Conclusion

We predict Toledo, with a 56.6% win probability, will likely beat Western Michigan 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.