Toledo vs. Sacramento State prediction favors Toledo to win in college football Week 10 [2026]

Using powerful machine learning and statistical analysis, we have re-simulated the result of Toledo vs. Sacramento State, forming part of our college football predictions coverage.

Our leading predictive model currently gives Toledo a 96.4% chance of beating Sacramento State. Our predicted final score has Toledo winning 39-13. According to our model, Sacramento State (+27.5) has a 53.6% chance of covering the spread, while the over/under total of 49.5 points has a 59.0% 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: Toledo -27.5 (+120) / Sacramento State +27.5 (-130)
• Moneyline: Toledo -1900, Sacramento State +1567
• Total: Over/Under 49.5 (-150/+138)

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 -27.5 @ 46¢ via Novig
• Moneyline: Toledo @ 95¢ via Novig
• Total: Under 49.5 @ 42¢ via Novig

According to our best college football bets, the top play to make on this game is Toledo to win.

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 matchup between Sacramento State and Toledo at Hornet Stadium is scheduled to start at 7:00 PM ET.

• Who: Toledo vs. Sacramento State
• Date: Wednesday, November 4, 2026
• Time: 7:00 PM ET/4:00 PM PT
• Venue: Hornet Stadium

College football Week 10 promos

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Conclusion

We predict Toledo, with a 96.4% win probability, will likely beat Sacramento State 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.