Marie Bouzkova vs. Iga Swiatek prediction, odds, picks for WTA Ningbo Open 2026
Get Bouzkova vs Swiatek predictions for WTA Ningbo Open.

Marie Bouzkova will take on Iga Swiatek in the round of 16 at the WTA Ningbo event on Wednesday.
Dimers' proven tennis model projects Iga Swiatek as the most likely winner in this Bouzkova vs. Swiatek prediction.
This article offers further insights into Wednesday's match, including best bets and picks.
Bouzkova vs. Swiatek prediction and odds
Our famous predictive model currently gives Swiatek a 76% chance of winning against Bouzkova at the WTA Ningbo 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: Iga Swiatek -333, Marie Bouzkova +270
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 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: Swiatek @ -333 via DraftKings
- First Set: Swiatek @ -115 via DraftKings
According to our tennis best bets, the top play to make on this match is Iga Swiatek 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 Marie Bouzkova and Iga Swiatek is scheduled to commence on Wednesday at 1:00 AM ET.
- Who: Marie Bouzkova vs. Iga Swiatek
- Date: Wednesday, October 21, 2026
- Approx. Time: 1:00 AM ET/10:00 PM PT
- Tournament: WTA Ningbo, China Women's Singles 2026
- Round: Round of 16
All dates and times mentioned in this article are United States Eastern Time unless otherwise stated.
Conclusion
We predict Iga Swiatek, with a 76% win probability, will likely beat Marie Bouzkova 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.



