Sara Bejlek vs. Marie Bouzkova prediction, odds, picks for WTA Ningbo Open 2026
Get Bejlek vs Bouzkova predictions for WTA Ningbo Open.

Sara Bejlek will square off with Marie Bouzkova in the quarterfinals at the WTA Ningbo event on Friday.
Dimers' advanced tennis model projects Marie Bouzkova as the most likely winner in this Bejlek vs. Bouzkova prediction.
This article offers further insights into Friday's match, including best bets and picks.
Bejlek vs. Bouzkova prediction and odds
Our famous predictive model currently gives Bouzkova a 56% chance of beating Bejlek 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: Marie Bouzkova -164, Sara Bejlek +139
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: Bejlek @ +139 via DraftKings
- First Set: Bouzkova @ -118 via DraftKings
According to our tennis best bets, the top play to make on this match is over 21.5 total games.
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 Sara Bejlek and Marie Bouzkova is scheduled to start on Friday at 1:00 AM ET.
- Who: Sara Bejlek vs. Marie Bouzkova
- Date: Friday, October 23, 2026
- Approx. Time: 1:00 AM ET/10:00 PM PT
- Tournament: WTA Ningbo, China Women's Singles 2026
- Round: Quarterfinals
All dates and times in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Marie Bouzkova, with a 56% win probability, will likely beat Sara Bejlek 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.



