Leylah Fernandez vs. Marie Bouzkova prediction, odds, picks for WTA Ningbo Open 2026

Using powerful machine learning and data analysis, we have re-simulated the result of Saturday's Fernandez-Bouzkova women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model can't split the two players, giving both Fernandez and Bouzkova a 50% chance of winning the match. Additionally, Fernandez has a 51% chance of winning the first set, according to our model.

Latest betting odds

We have researched the most up-to-date betting odds in America for this match, which are listed here:

• Moneyline: Marie Bouzkova -111, Leylah Fernandez -111
• First Set: Fernandez -111, Bouzkova -111

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:

• Moneyline: Fernandez @ -111 via DraftKings
• First Set: Fernandez @ -111 via DraftKings

According to our best tennis bets, the top play to make on this match is Leylah Fernandez to win the first set.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & first serve details

The WTA Ningbo Open match between Leylah Fernandez and Marie Bouzkova is scheduled to start on Saturday at 3:00 AM ET.

• Who: Leylah Fernandez vs. Marie Bouzkova
• Date: Saturday, October 24, 2026
• Approx. Time: 3:00 AM ET/12:00 AM PT
• Tournament: WTA Ningbo, China Women's Singles 2026
• Round: Semifinals

All dates and times in this article are United States Eastern Time unless otherwise stated.

Conclusion

We predict a close match between Fernandez and Bouzkova on Saturday, with each player having a 50% chance of winning.

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 Tennis prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.