Sorana Cirstea vs. Mary Stoiana prediction, odds, picks for WTA Hong Kong Open 2026

Using trusted machine learning and data analysis, we have re-simulated the result of Thursday's Cirstea-Stoiana women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Cirstea a 76% chance of defeating Stoiana at the WTA Hong Kong Open tournament. Additionally, Cirstea has a 71% 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: Mary Stoiana +296, Sorana Cirstea -333
• First Set: Cirstea -278, Stoiana +220

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 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: Stoiana @ +296 via DraftKings
• First Set: Cirstea @ -278 via DraftKings

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

Although Stoiana 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 Hong Kong Open match between Sorana Cirstea and Mary Stoiana is scheduled to start on Thursday at 1:00 AM ET.

• Who: Sorana Cirstea vs. Mary Stoiana
• Date: Thursday, November 5, 2026
• Approx. Time: 1:00 AM ET/10:00 PM PT
• Tournament: WTA Hong Kong, Hong Kong Women's Singles 2026
• Round: Round of 16

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

Conclusion

We predict Sorana Cirstea, with a 76% win probability, will likely beat Mary Stoiana at the WTA Hong Kong 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.