Alycia Parks vs. Lin Zhu prediction, odds, picks for WTA China Open 2026

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

Our independent predictive model currently gives Zhu a 51% chance of defeating Parks at the WTA China Open tournament. Additionally, both Parks and Zhu have an equal 50-50 chance of winning the first set. The simulations also show Zhu (+0.5) has a 53% chance of covering the games spread, while the over 21.5 games has a 52% chance of hitting, 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: Lin Zhu -108, Alycia Parks -110
• First Set: Parks -111, Zhu -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: Zhu @ -108 via DraftKings
• First Set: Zhu @ -110 via DraftKings

According to our tennis best bets, the top play to make on this match is Lin Zhu 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 Alycia Parks and Lin Zhu is scheduled to commence on Thursday at 5:00 AM ET.

• Who: Alycia Parks vs. Lin Zhu
• Date: Thursday, October 1, 2026
• Approx. Time: 5:00 AM ET/2:00AM PT
• Tournament: WTA Beijing, China Women's Singles 2026
• Round: Round of 128

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

Conclusion

We predict Lin Zhu, with a 51% win probability, will likely beat Alycia Parks 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.