Belinda Bencic vs. Ann Li prediction, odds, picks for WTA China Open 2026
Get Bencic vs Li predictions for WTA China Open.

Belinda Bencic and Ann Li are scheduled to meet in the round of 32 of the WTA China Open event on Monday.
Dimers' proven tennis model projects Belinda Bencic as the most likely winner in this Bencic vs. Li prediction.
This article offers an expanded analysis of Monday's match, including best bets and picks.
Bencic vs. Li prediction and odds
Our leading predictive model gives Bencic a 69% chance of beating Li 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: Ann Li +215, Belinda Bencic -240
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: Li @ +215 via DraftKings
- First Set: Li @ -115 via DraftKings
According to our best tennis bets, the top play to make on this match is Ann Li to win.
Although Li 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 Belinda Bencic and Ann Li is scheduled to start on Monday at 3:00 AM ET.
- Who: Belinda Bencic vs. Ann Li
- Date: Monday, October 5, 2026
- Approx. Time: 3:00 AM ET/12:00AM PT
- Tournament: WTA Beijing, China Women's Singles 2026
- Round: Round of 32
All dates and times in this article are United States Eastern Time unless otherwise stated.
Conclusion
We predict Belinda Bencic, with a 69% win probability, will likely beat Ann Li 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.



