Iva Jovic vs. Jasmine Paolini prediction, odds, picks for WTA Ningbo Open 2026
Get Jovic vs Paolini predictions for WTA Ningbo Open.

Iva Jovic and Jasmine Paolini will meet in the round of 16 of the WTA Ningbo Open event on Thursday.
Dimers' proven tennis model projects Iva Jovic as the most likely winner in this Jovic vs. Paolini prediction.
This article offers further insights into Thursday's match, including best bets and picks.
Jovic vs. Paolini prediction and odds
Our independent predictive model currently gives Jovic a 59% chance of beating Paolini 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: Jasmine Paolini +174, Iva Jovic -210
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: Paolini @ +174 via DraftKings
- First Set: Paolini @ -115 via DraftKings
According to our tennis best bets, the top play to make on this match is Jasmine Paolini 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 Ningbo Open match between Iva Jovic and Jasmine Paolini is scheduled to start on Thursday at 1:00 AM ET.
- Who: Iva Jovic vs. Jasmine Paolini
- Date: Thursday, October 22, 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 mentioned in this article are United States Eastern Time unless otherwise stated.
Conclusion
We predict Iva Jovic, with a 59% win probability, will likely beat Jasmine Paolini 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.



