Antonia Ruzic vs. Alexandra Eala prediction, odds, picks for WTA Hong Kong Open 2026

Using trusted machine learning and data, we have re-simulated the result of Friday's Ruzic-Eala women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model currently gives Eala a 72% chance of beating Ruzic at the WTA Hong Kong Open tournament.

Latest betting odds

We have sourced the most up-to-date betting odds in America for this match, which are listed here:

• Moneyline: Alexandra Eala -380, Antonia Ruzic +311

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: Ruzic @ +311 via DraftKings
• First Set: Eala @ -111 via DraftKings

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

Although Ruzic 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 Hong Kong Open match between Antonia Ruzic and Alexandra Eala is scheduled to commence on Friday at 6:40 AM ET.

• Who: Antonia Ruzic vs. Alexandra Eala
• Date: Friday, November 6, 2026
• Approx. Time: 6:40 AM ET/3:40 AM PT
• Tournament: WTA Hong Kong, Hong Kong Women's Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Alexandra Eala, with a 72% win probability, will likely beat Antonia Ruzic 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.