Diane Parry vs. Cristina Bucsa prediction, odds, picks for WTA Toray Pan Pacific Open 2026
Get Parry vs Bucsa predictions for WTA Toray Pan Pacific Open.

Diane Parry will take on Cristina Bucsa in the round of 32 at the WTA Tokyo event on Sunday.
Dimers' advanced tennis model projects Diane Parry as the most likely winner in this Parry vs. Bucsa prediction.
This article offers further insights into Sunday's match, including best bets and picks.
Parry vs. Bucsa prediction and odds
Our independent predictive model gives Parry a 52% chance of beating Bucsa at the WTA Toray Pan Pacific 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: Cristina Bucsa -104, Diane Parry -110
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: Parry @ -110 via DraftKings
- First Set: Bucsa @ -125 via DraftKings
According to our tennis best bets, the top play to make on this match is Diane Parry 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 Toray Pan Pacific Open match between Diane Parry and Cristina Bucsa is scheduled to begin on Sunday at 9:30 PM ET.
- Who: Diane Parry vs. Cristina Bucsa
- Date: Sunday, October 25, 2026
- Approx. Time: 9:30 PM ET/6:30 PM PT
- Tournament: WTA Tokyo, Japan Women's Singles 2026
- Round: Round of 32
All dates and times mentioned in this article are United States Eastern Time unless otherwise stated.
Conclusion
We predict Diane Parry, with a 52% win probability, will likely beat Cristina Bucsa at the WTA Toray Pan Pacific 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.



