Viktorija Golubic vs. Katie Boulter prediction, odds, picks for WTA Hong Kong Open 2026

Using powerful machine learning and data, we have re-simulated the result of Sunday's Golubic-Boulter women's singles match, forming part of our tennis predictions coverage.

Our independent predictive model gives Boulter a 58% chance of beating Golubic at the WTA Hong Kong Open tournament. Additionally, Boulter has a 56% 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: Katie Boulter -157, Viktorija Golubic +138
• First Set: Golubic +130, Boulter -164

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: Golubic @ +138 via DraftKings
• First Set: Golubic @ +130 via DraftKings

According to our tennis best bets, the top play to make on this match is Viktorija Golubic 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 Hong Kong Open match between Viktorija Golubic and Katie Boulter is scheduled to commence on Sunday at 9:00 PM ET.

• Who: Viktorija Golubic vs. Katie Boulter
• Date: Sunday, November 1, 2026
• Approx. Time: 9:00 PM ET/6:00 PM PT
• Tournament: WTA Hong Kong, Hong Kong Women's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Katie Boulter, with a 58% win probability, will likely beat Viktorija Golubic at the WTA Hong Kong 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.