Paula Badosa vs. Xiyu Wang prediction, odds, picks for WTA Guangzhou Open 2026
Get Badosa vs Wang predictions for WTA Guangzhou Open.

Paula Badosa and Xiyu Wang are scheduled to meet in the round of 32 of the WTA Guangzhou Open event on Sunday.
Dimers' advanced tennis model projects Paula Badosa as the most likely winner in this Badosa vs. Wang prediction.
This article offers further insights into Sunday's match, including best bets and picks.
Badosa vs. Wang prediction and odds
Our independent predictive model currently gives Badosa a 53% chance of defeating Wang at the WTA Guangzhou Open tournament.
Latest betting odds
We have researched the most up-to-date betting odds in America for this match, which are listed here:
- Moneyline: Xiyu Wang -107, Paula Badosa -106
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: Badosa @ -106 via DraftKings
- First Set: Wang @ -125 via DraftKings
According to our tennis best bets, the top play to make on this match is Paula Badosa to win.
These picks are based on our probabilities matched against the implied probabilities from the current available odds.
Game info & first serve details
The WTA Guangzhou Open match between Paula Badosa and Xiyu Wang is scheduled to start on Sunday at 11:00 PM ET.
- Who: Paula Badosa vs. Xiyu Wang
- Date: Sunday, October 25, 2026
- Approx. Time: 11:00 PM ET/8:00 PM PT
- Tournament: WTA Guangzhou, China Women's Singles 2026
- Round: Round of 32
All dates and times in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Paula Badosa, with a 53% win probability, will likely beat Xiyu Wang at the WTA Guangzhou 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.



