Sorana Cirstea vs. Maria Timofeeva prediction, odds, picks for WTA Hong Kong Open 2026

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

Our independent predictive model currently gives Cirstea a 73% chance of beating Timofeeva at the WTA Hong Kong Open tournament. Additionally, Cirstea has a 69% chance of winning the first set, 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: Maria Timofeeva +240, Sorana Cirstea -269
• First Set: Cirstea -250, Timofeeva +200

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: Cirstea @ -269 via DraftKings
• First Set: Timofeeva @ +200 via DraftKings

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

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 Maria Timofeeva is scheduled to commence on Sunday at 9:00 PM ET.

• Who: Sorana Cirstea vs. Maria Timofeeva
• Date: Sunday, November 1, 2026
• Approx. Time: 9:00 PM ET/6:00 PM PT
• Tournament: WTA Hong Kong, Hong Kong 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 Sorana Cirstea, with a 73% win probability, will likely beat Maria Timofeeva 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.