Maria Sakkari vs. Elina Svitolina prediction, odds, picks for WTA China Open 2026

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

Our leading predictive model currently gives Svitolina a 70% chance of defeating Sakkari at the WTA China Open tournament. Additionally, Svitolina has a 66% 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: Elina Svitolina -278, Maria Sakkari +235
• First Set: Sakkari +175, Svitolina -227

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: Sakkari @ +235 via DraftKings
• First Set: Sakkari @ +175 via DraftKings

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

Although Sakkari 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 China Open match between Maria Sakkari and Elina Svitolina is scheduled to commence on Sunday at 11:00 PM ET.

• Who: Maria Sakkari vs. Elina Svitolina
• Date: Sunday, October 4, 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 in this article are United States Eastern Time unless otherwise noted.

Conclusion

We predict Elina Svitolina, with a 70% win probability, will likely beat Maria Sakkari 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.