Kamilla Rakhimova vs. Marie Bouzkova prediction, odds, picks for WTA Ningbo Open 2026

Using powerful machine learning and data, we have re-simulated the result of Monday's Rakhimova-Bouzkova women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Bouzkova a 66% chance of defeating Rakhimova at the WTA Ningbo Open tournament. Additionally, Bouzkova has a 63% chance of winning the first set, 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: Marie Bouzkova -250, Kamilla Rakhimova +200
• First Set: Rakhimova +200, Bouzkova -250

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 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: Rakhimova @ +200 via DraftKings
• First Set: Rakhimova @ +200 via DraftKings

According to our best tennis bets, the top play to make on this match is Kamilla Rakhimova 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 Kamilla Rakhimova and Marie Bouzkova is scheduled to start on Monday at 5:10 AM ET.

• Who: Kamilla Rakhimova vs. Marie Bouzkova
• Date: Monday, October 19, 2026
• Approx. Time: 5:10 AM ET/2:10AM PT
• Tournament: WTA Ningbo, China 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 Marie Bouzkova, with a 66% win probability, will likely beat Kamilla Rakhimova 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.