Marie Bouzkova vs. Qinwen Zheng prediction, odds, picks for WTA China Open 2026

Using innovative machine learning and statistical analysis, we have re-simulated the outcome of Sunday's Bouzkova-Zheng women's singles match, forming part of our tennis predictions coverage.

Our independent predictive model currently gives Zheng a 53% chance of winning against Bouzkova at the WTA China Open tournament.

Latest betting odds

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

• Moneyline: Qinwen Zheng -132, Marie Bouzkova +112

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:

• Moneyline: Bouzkova @ +112 via DraftKings

According to our tennis best bets, the top play to make on this match is Marie Bouzkova to win.

Although Bouzkova is less than likely to win, she provides the best value at the current available odds.

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

Game info & first serve details

The WTA China Open match between Marie Bouzkova and Qinwen Zheng is scheduled to commence on Sunday at 11:00 PM ET.

• Who: Marie Bouzkova vs. Qinwen Zheng
• Date: Sunday, October 4, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Beijing, China Women's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Qinwen Zheng, with a 53% win probability, will likely beat Marie Bouzkova at the WTA China Open tournament.

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.