Daria Snigur vs. Katarzyna Kawa prediction, odds, picks for WTA China Open 2026

Using innovative machine learning and data, we have re-simulated the outcome of Wednesday's Snigur-Kawa women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Snigur an 82% chance of winning against Kawa at the WTA China Open tournament. Additionally, Snigur has a 77% chance of winning the first set. The simulations also show Kawa (+5.5) has a 53% chance of covering the games spread, while the over 18.5 games has a 63% chance of hitting, 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: Katarzyna Kawa +520, Daria Snigur -714
• First Set: Snigur -455, Kawa +333

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: Kawa @ +520 via DraftKings
• First Set: Kawa @ -139 via DraftKings

According to our tennis best bets, the top play to make on this match is over 18.5 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 Daria Snigur and Katarzyna Kawa is scheduled to commence on Wednesday at 12:10 AM ET.

• Who: Daria Snigur vs. Katarzyna Kawa
• Date: Wednesday, September 30, 2026
• Approx. Time: 12:10 AM ET/9:10PM PT
• Tournament: WTA Beijing, China Women's Singles 2026
• Round: Round of 128

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

Conclusion

We predict Daria Snigur, with an 82% win probability, will likely beat Katarzyna Kawa 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.