Janice Tjen vs. Aoi Ito prediction, odds, picks for WTA Wuhan Open 2026
Get Tjen vs Ito predictions for WTA Wuhan Open.

Janice Tjen will face Aoi Ito in the round of 64 at the WTA Wuhan event on Monday.
Dimers' proven tennis model projects Janice Tjen as the most likely winner in this Tjen vs. Ito prediction.
This article offers further insights into Monday's match, including best bets and picks.
Tjen vs. Ito prediction and odds
Our independent predictive model currently gives Tjen a 70% chance of beating Ito at the WTA Wuhan 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: Aoi Ito +237, Janice Tjen -294
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: Ito @ +237 via DraftKings
- First Set: Ito @ -118 via DraftKings
According to our tennis best bets, the top play to make on this match is Aoi Ito 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 Wuhan Open match between Janice Tjen and Aoi Ito is scheduled to commence on Monday at 12:10 AM ET.
- Who: Janice Tjen vs. Aoi Ito
- Date: Monday, October 12, 2026
- Approx. Time: 12:10 AM ET/9:10PM 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 Janice Tjen, with a 70% win probability, will likely beat Aoi Ito 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.



