Donna Vekic vs. Iga Swiatek prediction, odds, picks for WTA China Open 2026

Using trusted machine learning and data, we have re-simulated the result of Sunday's Vekic-Swiatek women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Swiatek an 86% chance of defeating Vekic at the WTA China Open tournament. Additionally, Swiatek has an 80% 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: Iga Swiatek -1000, Donna Vekic +750
• First Set: Vekic +400, Swiatek -625

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: Vekic @ +750 via DraftKings
• First Set: Vekic @ +400 via DraftKings

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

Although Vekic 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 Donna Vekic and Iga Swiatek is scheduled to start on Sunday at 11:00 PM ET.

• Who: Donna Vekic vs. Iga Swiatek
• 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 mentioned in this article are United States Eastern Time unless otherwise stated.

Conclusion

We predict Iga Swiatek, with an 86% win probability, will likely beat Donna Vekic 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.