Elena Rybakina vs. Diana Shnaider prediction, odds, picks for WTA Ningbo Open 2026

Using innovative machine learning and statistical analysis, we have re-simulated the outcome of Saturday's Rybakina-Shnaider women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Rybakina a 64% chance of defeating Shnaider at the WTA Ningbo Open tournament. Additionally, Rybakina has a 62% chance of winning the first set, while the under 22.5 games has a 54% chance of hitting, according to our model.

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 +175, Elena Rybakina -189
• First Set: Rybakina -189, Shnaider +150

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: Rybakina @ -189 via DraftKings
• First Set: Shnaider @ -125 via DraftKings

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

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 Elena Rybakina and Diana Shnaider is scheduled to commence on Saturday at 5:30 AM ET.

• Who: Elena Rybakina vs. Diana Shnaider
• Date: Saturday, October 24, 2026
• Approx. Time: 5:30 AM ET/2:30 AM PT
• Tournament: WTA Ningbo, China Women's Singles 2026
• Round: Semifinals

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

Conclusion

We predict Elena Rybakina, with a 64% win probability, will likely beat Diana Shnaider 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.