Alina Charaeva vs. Qinwen Zheng prediction, odds, picks for WTA China Open 2026

Using innovative machine learning and data, we have re-simulated the result of Tuesday's Charaeva-Zheng women's singles match, forming part of our tennis predictions coverage.

Our independent predictive model gives Zheng a 77% chance of defeating Charaeva at the WTA China Open tournament. Additionally, Zheng has a 72% chance of winning the first set, while the under 21.5 games has a 59% chance of hitting, according to our model.

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 -375, Alina Charaeva +307
• First Set: Charaeva +240, Zheng -303

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Zheng @ -375 via DraftKings
• First Set: Zheng @ -135 via DraftKings

According to our best tennis bets, the top play to make on this match is Qinwen Zheng 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 China Open match between Alina Charaeva and Qinwen Zheng is scheduled to begin on Tuesday at 11:00 PM ET.

• Who: Alina Charaeva vs. Qinwen Zheng
• Date: Tuesday, October 6, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Beijing, China Women's Singles 2026
• Round: Round of 16

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

Conclusion

We predict Qinwen Zheng, with a 77% win probability, will likely beat Alina Charaeva 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.