Ann Li vs. Camila Osorio prediction, odds, picks for WTA Wuhan Open 2026
Get Li vs Osorio predictions for WTA Wuhan Open.

Ann Li will square off with Camila Osorio in the round of 64 at the WTA Wuhan event on Tuesday.
Dimers' advanced tennis model projects Ann Li as the most likely winner in this Li vs. Osorio prediction.
This article offers further insights into Tuesday's match, including best bets and picks.
Li vs. Osorio prediction and odds
Our famous predictive model currently gives Li a 52% chance of beating Osorio 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: Camila Osorio +104, Ann Li -120
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: Osorio @ +104 via DraftKings
- First Set: Osorio @ -110 via DraftKings
According to our tennis best bets, the top play to make on this match is Camila Osorio to win.
Although Osorio 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 Wuhan Open match between Ann Li and Camila Osorio is scheduled to commence on Tuesday at 2:30 AM ET.
- Who: Ann Li vs. Camila Osorio
- Date: Tuesday, October 13, 2026
- Approx. Time: 2:30 AM ET/11:30PM PT
- Tournament: WTA Wuhan, China Women's Singles 2026
- Round: Round of 64
All dates and times mentioned in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Ann Li, with a 52% win probability, will likely beat Camila Osorio 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.



