Wisconsin vs. UCLA prediction favors UCLA to win in college football Week 7 [2026]

Using trusted machine learning and data, we have re-simulated the result of Wisconsin vs. UCLA, forming part of our college football predictions coverage.

Our famous predictive model currently gives UCLA a 52.2% chance of beating Wisconsin. Our predicted final score has UCLA winning 23-21. According to our model, Wisconsin (+3.5) has a 59.0% chance of covering the spread, while the 42.5-point over/under has a 56.6% 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: Wisconsin +3.5 (-160) / UCLA -3.5 (+150)
• Moneyline: Wisconsin +108, UCLA -111
• Total: Over/Under 42.5 (-110/-104)

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: UCLA -3.5 @ 40¢ via Novig
• Moneyline: Wisconsin @ 48¢ via Novig
• Total: Over 42.5 @ -110 via FanDuel

According to our college football best bets, the top play to make on this game is Over 42.5 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 action between UCLA and Wisconsin at Rose Bowl is scheduled to start at 7:30 PM ET.

• Who: Wisconsin vs. UCLA
• Date: Saturday, October 17, 2026
• Time: 7:30 PM ET/4:30PM PT
• Venue: Rose Bowl

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Conclusion

We predict UCLA, with a 52.2% win probability, will likely beat Wisconsin 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.