Anastasia Potapova vs. Sinja Kraus prediction, odds, picks for WTA China Open 2026

Using trusted machine learning and statistical analysis, we have re-simulated the outcome of Thursday's Potapova-Kraus women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model currently gives Potapova a 75% chance of defeating Kraus at the WTA China Open tournament. Additionally, Potapova has a 70% chance of winning the first set, according to our model.

Latest betting odds

We have sourced the most up-to-date betting odds in America for this match, which are listed here:

• Moneyline: Sinja Kraus +280, Anastasia Potapova -306
• First Set: Potapova -278, Kraus +220

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: Potapova @ -306 via DraftKings
• First Set: Kraus @ +220 via DraftKings

According to our tennis best bets, the top play to make on this match is Anastasia Potapova 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 China Open match between Anastasia Potapova and Sinja Kraus is scheduled to commence on Thursday at 11:00 PM ET.

• Who: Anastasia Potapova vs. Sinja Kraus
• Date: Thursday, October 1, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Beijing, China Women's Singles 2026
• Round: Round of 64

All dates and times mentioned in this article are United States Eastern Time unless otherwise noted.

Conclusion

We predict Anastasia Potapova, with a 75% win probability, will likely beat Sinja Kraus at the WTA China 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.