Leylah Fernandez vs. Ekaterina Alexandrova prediction, odds, picks for WTA Ningbo Open 2026

Using innovative machine learning and data analysis, we have re-simulated the result of Friday's Fernandez-Alexandrova women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Alexandrova a 53% chance of winning against Fernandez at the WTA Ningbo 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: Ekaterina Alexandrova -134, Leylah Fernandez +115

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: Fernandez @ +115 via DraftKings
• First Set: Alexandrova @ -125 via DraftKings

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

Although Fernandez 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 Ningbo Open match between Leylah Fernandez and Ekaterina Alexandrova is scheduled to commence on Friday at 1:00 AM ET.

• Who: Leylah Fernandez vs. Ekaterina Alexandrova
• Date: Friday, October 23, 2026
• Approx. Time: 1:00 AM ET/10:00 PM PT
• Tournament: WTA Ningbo, China Women's Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Ekaterina Alexandrova, with a 53% win probability, will likely beat Leylah Fernandez at the WTA Ningbo 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.