Xinyu Wang vs. Joanna Garland prediction, odds, picks for WTA Singapore 2026

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

Our leading predictive model currently gives Wang a 63% chance of winning against Garland at the WTA Singapore tournament. Additionally, Wang has a 60% chance of winning the first set, while the over 20.5 games has a 58% 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: Joanna Garland +210, Xinyu Wang -227
• First Set: Wang -189, Garland +150

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: Garland @ +210 via DraftKings
• First Set: Garland @ -120 via DraftKings

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

Although Garland 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 Singapore match between Xinyu Wang and Joanna Garland is scheduled to begin on Wednesday at 11:00 PM ET.

• Who: Xinyu Wang vs. Joanna Garland
• Date: Wednesday, September 23, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Singapore, Singapore Women's Singles 2026
• Round: Round of 16

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

Conclusion

We predict Xinyu Wang, with a 63% win probability, will likely beat Joanna Garland at the WTA Singapore 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.