Leylah Fernandez vs. Aliaksandra Sasnovich prediction, odds, picks for WTA Ningbo Open 2026

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

Our famous predictive model currently gives Fernandez a 62% chance of winning against Sasnovich 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: Aliaksandra Sasnovich +166, Leylah Fernandez -204

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 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: Sasnovich @ +166 via DraftKings
• First Set: Sasnovich @ -115 via DraftKings

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

Although Sasnovich 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 Aliaksandra Sasnovich is scheduled to begin on Wednesday at 1:00 AM ET.

• Who: Leylah Fernandez vs. Aliaksandra Sasnovich
• Date: Wednesday, October 21, 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 noted.

Conclusion

We predict Leylah Fernandez, with a 62% win probability, will likely beat Aliaksandra Sasnovich 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.