Katerina Siniakova vs. Liudmila Samsonova prediction, odds, picks for WTA Wuhan Open 2026

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

Our famous predictive model gives Samsonova a 52% chance of defeating Siniakova at the WTA Wuhan Open tournament. Additionally, Samsonova has a 51% chance of winning the first set, while the under 22.5 games has a 55% chance of hitting, 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: Liudmila Samsonova -124, Katerina Siniakova +104
• First Set: Siniakova +100, Samsonova -125

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: Siniakova @ +104 via DraftKings
• First Set: Samsonova @ -130 via DraftKings

According to our tennis best bets, the top play to make on this match is over 22.5 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 Wuhan Open match between Katerina Siniakova and Liudmila Samsonova is scheduled to start on Sunday at 10:00 PM ET.

• Who: Katerina Siniakova vs. Liudmila Samsonova
• Date: Sunday, October 11, 2026
• Approx. Time: 10:00 PM ET/7:00PM PT
• Tournament: WTA Wuhan, China Women's Singles 2026
• Round: Round of 64

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

Conclusion

We predict Liudmila Samsonova, with a 52% win probability, will likely beat Katerina Siniakova at the WTA Wuhan 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.