Cristina Bucsa vs. Polina Kudermetova prediction, odds, picks for WTA Ningbo Open 2026

Using powerful machine learning and statistical analysis, we have re-simulated the result of Monday's Bucsa-Kudermetova women's singles match, forming part of our tennis predictions coverage.

Our independent predictive model currently can't split the two players, giving both Bucsa and Kudermetova a 50% chance of winning the match. Additionally, both Bucsa and Kudermetova have an equal 50-50 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: Polina Kudermetova -111, Cristina Bucsa -111
• First Set: Bucsa -111, Kudermetova -111

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: Kudermetova @ -111 via DraftKings
• First Set: Kudermetova @ -111 via DraftKings

According to our tennis best bets, the top play to make on this match is Polina Kudermetova 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 Cristina Bucsa and Polina Kudermetova is scheduled to begin on Monday at 10:00 PM ET.

• Who: Cristina Bucsa vs. Polina Kudermetova
• Date: Monday, October 19, 2026
• Approx. Time: 10:00 PM ET/7:00PM 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 noted.

Conclusion

We predict a close match between Bucsa and Kudermetova on Monday, with each player having a 50% chance of winning.

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.