Using powerful machine learning and statistical analysis, we have re-simulated the result of Saturday’s Bencic-Zakharova women’s singles match, forming part of our tennis predictions coverage.
Our famous predictive model gives Bencic an 80% chance of beating Zakharova at the WTA China Open tournament.
Additionally, Bencic has a 75% chance of winning the first set. The simulations also show Zakharova (+5.5) has a 53% chance of covering the games spread, while the over 19.5 games has a 55% chance of hitting, according to our model.
Latest betting odds
We have researched the most up-to-date betting odds in America for this match, which are listed here:
Moneyline: Anastasia Zakharova +385, Belinda Bencic -465
First Set: Bencic -357, Zakharova +275
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: Zakharova @ +385 via DraftKings
First Set: Zakharova @ -125 via DraftKings
According to our tennis best bets, the top play to make on this match is over 19.5 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 China Open match between Belinda Bencic and Anastasia Zakharova is scheduled to commence on Saturday at 3:55 AM ET.
Who: Belinda Bencic vs. Anastasia Zakharova
Date: Saturday, October 3, 2026
Approx. Time: 3:55 AM ET/12:55AM PT
Tournament: WTA Beijing, China Women’s Singles 2026
Round: Round of 64
All dates and times in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Belinda Bencic, with an 80% win probability, will likely beat Anastasia Zakharova at the WTA China Open tournament.
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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.