Panna Udvardy vs. Sinja Kraus prediction, odds, picks for WTA Guangzhou Open 2026

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

Our leading predictive model currently gives Kraus a 61% chance of winning against Udvardy at the WTA Guangzhou Open tournament.

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 -208, Panna Udvardy +186

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: Udvardy @ +186 via DraftKings
• First Set: Kraus @ -105 via DraftKings

According to our tennis best bets, the top play to make on this match is Panna Udvardy to win.

Although Udvardy is less than likely to win, she provides the best value at the current available odds.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & first serve details

The WTA Guangzhou Open match between Panna Udvardy and Sinja Kraus is scheduled to start on Sunday at 11:00 PM ET.

• Who: Panna Udvardy vs. Sinja Kraus
• Date: Sunday, October 25, 2026
• Approx. Time: 11:00 PM ET/8:00 PM PT
• Tournament: WTA Guangzhou, 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 Sinja Kraus, with a 61% win probability, will likely beat Panna Udvardy at the WTA Guangzhou 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.