Alycia Parks vs. Alexandra Eala prediction, odds, picks for WTA Hong Kong Open 2026

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

Our leading predictive model gives Eala a 79% chance of defeating Parks at the WTA Hong Kong Open tournament.

Latest betting odds

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

• Moneyline: Alexandra Eala -549, Alycia Parks +405

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: Parks @ +405 via DraftKings
• First Set: Eala @ -135 via DraftKings

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

Although Parks 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 Alycia Parks and Alexandra Eala is scheduled to commence on Monday at 9:00 PM ET.

• Who: Alycia Parks vs. Alexandra Eala
• Date: Monday, November 2, 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 Alexandra Eala, with a 79% win probability, will likely beat Alycia Parks 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.