Sara Bejlek vs. Naomi Osaka prediction, odds, picks for WTA China Open 2026

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

Our leading predictive model currently gives Osaka a 72% chance of defeating Bejlek at the WTA China Open tournament. Additionally, Osaka has a 68% 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: Naomi Osaka -330, Sara Bejlek +260
• First Set: Bejlek +220, Osaka -278

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 current 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: Bejlek @ +260 via DraftKings
• First Set: Bejlek @ +220 via DraftKings

According to our tennis best bets, the top play to make on this match is Sara Bejlek to win the first set.

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 Sara Bejlek and Naomi Osaka is scheduled to commence on Saturday at 11:00 PM ET.

• Who: Sara Bejlek vs. Naomi Osaka
• 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 in this article are United States Eastern Time unless otherwise stated.

Conclusion

We predict Naomi Osaka, with a 72% win probability, will likely beat Sara Bejlek 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.