Alexandra Eala vs. Diana Shnaider prediction, odds, picks for WTA Ningbo Open 2026

Using innovative machine learning and data, we have re-simulated the outcome of Thursday's Eala-Shnaider women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model gives Shnaider a 56% chance of winning against Eala 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: Diana Shnaider -154, Alexandra Eala +140

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: Eala @ +140 via DraftKings
• First Set: Shnaider @ -120 via DraftKings

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

Although Eala 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 Alexandra Eala and Diana Shnaider is scheduled to commence on Thursday at 1:00 AM ET.

• Who: Alexandra Eala vs. Diana Shnaider
• Date: Thursday, October 22, 2026
• Approx. Time: 1:00 AM ET/10:00 PM PT
• Tournament: WTA Ningbo, China Women's Singles 2026
• Round: Round of 16

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

Conclusion

We predict Diana Shnaider, with a 56% win probability, will likely beat Alexandra Eala 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.