Ann Li vs. Janice Tjen prediction, odds, picks for WTA Wuhan Open 2026
Get Li vs Tjen predictions for WTA Wuhan Open.

Ann Li will face Janice Tjen in the round of 16 at the WTA Wuhan event on Thursday.
Dimers' proven tennis model projects Ann Li as the most likely winner in this Li vs. Tjen prediction.
This article offers an expanded analysis of Thursday's match, including best bets and picks.
Li vs. Tjen prediction and odds
Our leading predictive model currently gives Li a 63% chance of winning against Tjen at the WTA Wuhan 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: Janice Tjen +164, Ann Li -176
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 @ -176 via DraftKings
- First Set: Tjen @ -130 via DraftKings
According to our best tennis bets, the top play to make on this match is Ann Li 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 Wuhan Open match between Ann Li and Janice Tjen is scheduled to begin on Thursday at 8:20 AM ET.
- Who: Ann Li vs. Janice Tjen
- Date: Thursday, October 15, 2026
- Approx. Time: 8:20 AM ET/5:20AM PT
- Tournament: WTA Wuhan, China Women's Singles 2026
- Round: Round of 16
All dates and times mentioned in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Ann Li, with a 63% win probability, will likely beat Janice Tjen at the WTA Wuhan 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.



