Maya Joint vs. Sinja Kraus prediction, odds, picks for WTA China Open 2026

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

Our leading predictive model currently gives Joint a 75% chance of defeating Kraus at the WTA China Open tournament. Additionally, Joint has a 70% chance of winning the first set. The simulations also show Joint (-4.5) has a 53% chance of covering the games spread, while the over 20.5 games has a 51% chance of hitting, 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: Sinja Kraus +265, Maya Joint -333
• First Set: Joint -278, Kraus +220

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: Kraus @ +265 via DraftKings
• First Set: Kraus @ -115 via DraftKings

According to our tennis best bets, the top play to make on this match is over 20.5 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 China Open match between Maya Joint and Sinja Kraus is scheduled to begin on Tuesday at 11:00 PM ET.

• Who: Maya Joint vs. Sinja Kraus
• Date: Tuesday, September 29, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Beijing, China Women's Singles 2026
• Round: Round of 128

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

Conclusion

We predict Maya Joint, with a 75% win probability, will likely beat Sinja Kraus 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.