Antonia Ruzic vs. Claire Liu prediction, odds, picks for WTA Guangzhou Open 2026

Using trusted machine learning and statistical analysis, we have re-simulated the result of Sunday's Ruzic-Liu women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Liu a 51% chance of beating Ruzic 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: Claire Liu -118, Antonia Ruzic +104

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 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: Ruzic @ +104 via DraftKings
• First Set: Liu @ -125 via DraftKings

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

Although Ruzic 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 Antonia Ruzic and Claire Liu is scheduled to start on Sunday at 11:00 PM ET.

• Who: Antonia Ruzic vs. Claire Liu
• 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 in this article are United States Eastern Time unless otherwise noted.

Conclusion

We predict Claire Liu, with a 51% win probability, will likely beat Antonia Ruzic 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.