Ann Li vs. Donna Vekic prediction, odds, picks for US Open 2026
Get Li vs Vekic predictions for US Open 2026.

Ann Li will square off with Donna Vekic in the second round of the US Open Women's Singles 2026 on Wednesday.
Dimers' advanced tennis model projects Ann Li as the most likely winner in this Li vs. Vekic prediction.
This article offers further insights into Wednesday's match, including best bets and picks.
Li vs. Vekic prediction: Who will win and advance to the round of 32?
Our leading predictive model gives Li a 54% chance of defeating Vekic in the US Open 2026.
Ann Li vs. Donna Vekic odds
We have researched the most up-to-date betting odds in America for this match, which are listed here:
- Moneyline: Donna Vekic +146, Ann Li -170
All odds are correct at the time of publication and are subject to change.
Li vs. Vekic 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: Vekic @ +146 via DraftKings
- First Set: Vekic @ -125 via DraftKings
According to our best tennis bets, the top play to make on this match is Donna Vekic to win.
Although Vekic is less than likely to win, she provides the best value at the current available odds.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Li vs. Vekic updates and essential details
The US Open 2026 match between Ann Li and Donna Vekic is scheduled to commence on Wednesday at 11:00 AM ET.
- Who: Ann Li vs. Donna Vekic
- Date: Wednesday, September 2, 2026
- Approx. Time: 11:00 AM ET/8:00AM PT
- Tournament: US Open Women's Singles 2026
- Round: Second round
All dates and times mentioned in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Ann Li, with a 54% win probability, will likely beat Donna Vekic at the US Open 2026.
Additional tools and information for betting safely can be found in our Responsible Gambling hub.




