Storm Hunter vs. Joanna Garland prediction, odds, picks for WTA Singapore 2026

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

Our famous predictive model gives Hunter a 51% chance of defeating Garland at the WTA Singapore tournament. Additionally, Hunter has a 51% chance of winning the first set, while the under 22.5 games has a 54% 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 -103, Storm Hunter -110
• First Set: Hunter -111, Garland -111

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Hunter @ -110 via DraftKings
• First Set: Garland @ -140 via DraftKings

According to our best tennis bets, the top play to make on this match is over 22.5 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 Storm Hunter and Joanna Garland is scheduled to begin on Monday at 7:40 AM ET.

• Who: Storm Hunter vs. Joanna Garland
• Date: Monday, September 21, 2026
• Approx. Time: 7:40 AM ET/4:40AM PT
• Tournament: WTA Singapore, Singapore 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 Storm Hunter, with a 51% 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.