Alexandra Eala vs. Diane Parry prediction, odds, picks for WTA Ningbo Open 2026
Get Eala vs Parry predictions for WTA Ningbo Open.

Alexandra Eala will take on Diane Parry in the round of 32 at the WTA Ningbo event on Monday.
Dimers' advanced tennis model projects Alexandra Eala as the most likely winner in this Eala vs. Parry prediction.
This article offers a closer look at Monday's match, including best bets and picks.
Eala vs. Parry prediction and odds
Our famous predictive model currently gives Eala a 74% chance of defeating Parry at the WTA Ningbo 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: Diane Parry +243, Alexandra Eala -300
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 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: Eala @ -300 via DraftKings
- First Set: Parry @ -110 via DraftKings
According to our tennis best bets, the top play to make on this match is Alexandra Eala 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 Ningbo Open match between Alexandra Eala and Diane Parry is scheduled to start on Monday at 7:30 AM ET.
- Who: Alexandra Eala vs. Diane Parry
- Date: Monday, October 19, 2026
- Approx. Time: 7:30 AM ET/4:30AM PT
- Tournament: WTA Ningbo, 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 Alexandra Eala, with a 74% win probability, will likely beat Diane Parry at the WTA Ningbo 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.



