Rutgers vs. Wisconsin prediction: Why Wisconsin is favored to win in college football Week 10 [2026]

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

Our leading predictive model gives Wisconsin a 91.9% chance of beating Rutgers. Our predicted final score has Wisconsin winning 33-12. According to our model, Wisconsin (-18.5) has a 54.8% chance of covering the spread, while the 45.5-point over/under has a 52.0% 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: Rutgers +18.5 (-112) / Wisconsin -18.5 (-108)
• Moneyline: Rutgers +860, Wisconsin -900
• Total: Over/Under 45.5 (+104/-106)

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 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: Wisconsin -18.5 @ -108 via FanDuel
• Moneyline: Wisconsin @ 90¢ via Novig
• Total: Over 45.5 @ 49¢ via Novig

According to our best college football bets, the top play to make on this game is Over 45.5 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 Wisconsin and Rutgers at Camp Randall Stadium is scheduled to begin at 4:15 PM ET.

• Who: Rutgers vs. Wisconsin
• Date: Saturday, November 7, 2026
• Time: 4:15 PM ET/1:15 PM PT
• Venue: Camp Randall Stadium

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Conclusion

We predict Wisconsin, with a 91.9% win probability, will likely beat Rutgers 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.