Aryna Sabalenka vs. Ann Li prediction, odds, picks for WTA Wuhan Open 2026

Using trusted machine learning and data, we have re-simulated the outcome of Wednesday's Sabalenka-Li women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model currently gives Sabalenka an 82% chance of beating Li at the WTA Wuhan Open tournament. Additionally, Sabalenka has a 76% chance of winning the first set. The simulations also show Li (+5.5) has a 53% chance of covering the games spread, while the under 20.5 games has a 51% 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: Ann Li +470, Aryna Sabalenka -610
• First Set: Sabalenka -400, Li +300

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: Li @ +470 via DraftKings
• First Set: Li @ +110 via DraftKings

According to our tennis best bets, the top play to make on this match is over 20.5 total games.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & first serve details

The WTA Wuhan Open match between Aryna Sabalenka and Ann Li is scheduled to begin on Wednesday at 7:00 AM ET.

• Who: Aryna Sabalenka vs. Ann Li
• Date: Wednesday, October 14, 2026
• Approx. Time: 7:00 AM ET/4:00AM PT
• Tournament: WTA Wuhan, China Women's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Aryna Sabalenka, with an 82% win probability, will likely beat Ann Li at the WTA Wuhan 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.