Elena Rybakina vs. Katarzyna Kawa prediction, odds, picks for WTA Ningbo Open 2026

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

Our famous predictive model gives Rybakina a 92% chance of winning against Kawa at the WTA Ningbo Open tournament. Additionally, Rybakina has an 86% chance of winning the first set. The simulations also show Kawa (+6.5) has a 53% chance of covering the games spread, while the over 17.5 games has a 58% 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: Katarzyna Kawa +1080, Elena Rybakina -1786
• First Set: Rybakina -1000, Kawa +600

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: Kawa @ +1080 via DraftKings
• First Set: Kawa @ -115 via DraftKings

According to our tennis best bets, the top play to make on this match is over 17.5 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 Elena Rybakina and Katarzyna Kawa is scheduled to commence on Friday at 7:00 AM ET.

• Who: Elena Rybakina vs. Katarzyna Kawa
• Date: Friday, October 23, 2026
• Approx. Time: 7:00 AM ET/4:00 AM PT
• Tournament: WTA Ningbo, China Women's Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Elena Rybakina, with a 92% win probability, will likely beat Katarzyna Kawa 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.