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

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

Our famous predictive model gives Wang a 74% chance of winning against Garland at the WTA Singapore tournament. Additionally, Wang has a 70% chance of winning the first set. The simulations also show Garland (+4.5) has a 53% chance of covering the games spread, while the under 21.5 games has a 52% 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 +273, Xinyu Wang -333
• First Set: Wang -250, Garland +200

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: Wang @ -333 via DraftKings
• First Set: Garland @ +100 via DraftKings

According to our best tennis bets, the top play to make on this match is over 21.5 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 Singapore match between Xinyu Wang and Joanna Garland is scheduled to commence on Thursday at 2:10 AM ET.

• Who: Xinyu Wang vs. Joanna Garland
• Date: Thursday, September 24, 2026
• Approx. Time: 2:10 AM ET/11:10PM 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 74% 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.