Kaitlin Quevedo vs. Anna Blinkova prediction, odds, picks for WTA Sao Paulo 2026

Using powerful machine learning and statistical analysis, we have re-simulated the outcome of Saturday's Quevedo-Blinkova women's singles match, forming part of our tennis predictions coverage.

Our independent predictive model currently gives Blinkova a 58% chance of winning against Quevedo at the WTA Sao Paulo tournament. Additionally, Blinkova has a 57% chance of winning the first set, 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: Anna Blinkova -175, Kaitlin Quevedo +137
• First Set: Quevedo +130, Blinkova -164

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: Quevedo @ +137 via DraftKings
• First Set: Quevedo @ +130 via DraftKings

According to our tennis best bets, the top play to make on this match is Kaitlin Quevedo 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 Kaitlin Quevedo and Anna Blinkova is scheduled to start on Saturday at 12:00 PM ET.

• Who: Kaitlin Quevedo vs. Anna Blinkova
• Date: Saturday, September 19, 2026
• Approx. Time: 12:00 PM ET/9:00AM PT
• Tournament: WTA Sao Paulo, Brazil Women's, Singles 2026
• Round: Semifinals

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

Conclusion

We predict Anna Blinkova, with a 58% win probability, will likely beat Kaitlin Quevedo 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.