Nadia Podoroska vs. Suzan Lamens prediction, odds, picks for WTA Sao Paulo 2026

Using powerful machine learning and data, we have re-simulated the outcome of Friday's Podoroska-Lamens women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model currently gives Podoroska a 55% chance of defeating Lamens at the WTA Sao Paulo tournament. Additionally, Podoroska has a 53% chance of winning the first set, while the over 20.5 games has a 57% 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: Suzan Lamens +115, Nadia Podoroska -130
• First Set: Podoroska -111, Lamens -111

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 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: Lamens @ +115 via DraftKings
• First Set: Lamens @ -120 via DraftKings

According to our tennis best bets, the top play to make on this match is Suzan Lamens 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 Nadia Podoroska and Suzan Lamens is scheduled to begin on Friday at 5:40 PM ET.

• Who: Nadia Podoroska vs. Suzan Lamens
• Date: Friday, September 18, 2026
• Approx. Time: 5:40 PM ET/2:40PM PT
• Tournament: WTA Sao Paulo, Brazil Women's, Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Nadia Podoroska, with a 55% win probability, will likely beat Suzan Lamens 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.