Iva Jovic vs. Maja Chwalinska prediction, odds, picks for WTA Wuhan Open 2026

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

Our independent predictive model currently gives Jovic a 73% chance of beating Chwalinska at the WTA Wuhan Open tournament. Additionally, Jovic has a 68% chance of winning the first set, while the over 19.5 games has a 61% 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: Maja Chwalinska +255, Iva Jovic -294
• First Set: Jovic -278, Chwalinska +220

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: Chwalinska @ +255 via DraftKings
• First Set: Chwalinska @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Maja Chwalinska to win the first set.

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 Iva Jovic and Maja Chwalinska is scheduled to begin on Thursday at 12:10 AM ET.

• Who: Iva Jovic vs. Maja Chwalinska
• Date: Thursday, October 15, 2026
• Approx. Time: 12:10 AM ET/9:10PM PT
• Tournament: WTA Wuhan, 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 Iva Jovic, with a 73% win probability, will likely beat Maja Chwalinska 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.