Ann Li vs. Iga Swiatek prediction, odds, picks for WTA Wuhan Open 2026

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

Our famous predictive model currently gives Swiatek an 82% chance of defeating Li at the WTA Wuhan Open tournament. Additionally, Swiatek has a 76% chance of winning the first set. The simulations also show Swiatek (-5.5) has a 53% chance of covering the games spread, while the under 20.5 games has a 58% chance of hitting, according to our model.

Latest betting odds

We have researched the most up-to-date betting odds in America for this match, which are listed here:

• Moneyline: Iga Swiatek -556, Ann Li +430
• First Set: Li +275, Swiatek -357

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: Li @ +430 via DraftKings
• First Set: Swiatek @ -150 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 Ann Li and Iga Swiatek is scheduled to commence on Friday at 7:00 AM ET.

• Who: Ann Li vs. Iga Swiatek
• Date: Friday, October 16, 2026
• Approx. Time: 7:00 AM ET/4:00AM PT
• Tournament: WTA Wuhan, China Women's Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Iga Swiatek, 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.