Dominika Salkova vs. Mary Stoiana prediction, odds, picks for WTA Sao Paulo 2026
Get Salkova vs Stoiana predictions for WTA Sao Paulo.

Dominika Salkova will square off with Mary Stoiana in the round of 16 at the WTA Sao Paulo event on Thursday.
Dimers' advanced tennis model projects Mary Stoiana as the most likely winner in this Salkova vs. Stoiana prediction.
This article offers further insights into Thursday's match, including best bets and picks.
Salkova vs. Stoiana prediction and odds
Our independent predictive model currently gives Stoiana a 60% chance of winning against Salkova at the WTA Sao Paulo tournament.
Latest betting odds
We have sourced the most up-to-date betting odds in America for this match, which are listed here:
- Moneyline: Mary Stoiana -227, Dominika Salkova +186
All odds are correct at the time of publication and are subject to change.
Model picks and best bet
After matching our probabilities 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: Salkova @ +186 via DraftKings
- First Set: Stoiana @ -120 via DraftKings
According to our tennis best bets, the top play to make on this match is Dominika Salkova 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 Sao Paulo match between Dominika Salkova and Mary Stoiana is scheduled to start on Thursday at 1:30 PM ET.
- Who: Dominika Salkova vs. Mary Stoiana
- Date: Thursday, September 17, 2026
- Approx. Time: 1:30 PM ET/10:30AM PT
- Tournament: WTA Sao Paulo, Brazil Women's, Singles 2026
- Round: Round of 16
All dates and times mentioned in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Mary Stoiana, with a 60% win probability, will likely beat Dominika Salkova at the WTA Sao Paulo 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.



