Eva Lys vs. Gabriela CE prediction, odds, picks for WTA Sao Paulo 2026
Get Lys vs CE predictions for WTA Sao Paulo.

Eva Lys will square off with Gabriela CE in the round of 32 at the WTA Sao Paulo event on Monday.
Dimers' advanced tennis model projects Eva Lys as the most likely winner in this Lys vs. CE prediction.
This article offers further insights into Monday's match, including best bets and picks.
Lys vs. CE prediction and odds
Our famous predictive model currently gives Lys an 88% chance of defeating CE 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: Gabriela CE +830, Eva Lys -1205
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: CE @ +830 via DraftKings
- First Set: CE @ -111 via DraftKings
According to our tennis best bets, the top play to make on this match is Gabriela CE 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 Eva Lys and Gabriela CE is scheduled to begin on Monday at 9:00 AM ET.
- Who: Eva Lys vs. Gabriela CE
- Date: Monday, September 14, 2026
- Approx. Time: 9:00 AM ET/6:00AM PT
- Tournament: WTA Sao Paulo, Brazil Women's, Singles 2026
- Round: Round of 32
All dates and times in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Eva Lys, with an 88% win probability, will likely beat Gabriela CE 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.




