Karolina Muchova vs. Liudmila Samsonova prediction, odds, picks for WTA China Open 2026

Using powerful machine learning and statistical analysis, we have re-simulated the result of Saturday's Muchova-Samsonova women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Muchova a 76% chance of defeating Samsonova at the WTA China Open tournament. Additionally, Muchova has a 72% 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: Liudmila Samsonova +285, Karolina Muchova -340
• First Set: Muchova -303, Samsonova +240

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: Muchova @ -340 via DraftKings
• First Set: Samsonova @ +240 via DraftKings

According to our tennis best bets, the top play to make on this match is Karolina Muchova 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 China Open match between Karolina Muchova and Liudmila Samsonova is scheduled to begin on Saturday at 11:00 PM ET.

• Who: Karolina Muchova vs. Liudmila Samsonova
• Date: Saturday, October 3, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Beijing, 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 Karolina Muchova, with a 76% win probability, will likely beat Liudmila Samsonova at the WTA China 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.