Cristina Bucsa vs. Sara Bejlek prediction, odds, picks for WTA Guadalajara Open 2026
Get Bucsa vs Bejlek predictions for WTA Guadalajara Open.

Cristina Bucsa will face Sara Bejlek in the quarterfinals at the WTA Guadalajara event on Thursday.
Dimers' proven tennis model projects Sara Bejlek as the most likely winner in this Bucsa vs. Bejlek prediction.
This article offers a closer look at Thursday's match, including best bets and picks.
Bucsa vs. Bejlek prediction and odds
Our famous predictive model gives Bejlek a 60% chance of winning against Bucsa at the WTA Guadalajara Open tournament.
Latest betting odds
We have sourced the most up-to-date betting odds in America for this match, which are listed here:
- Moneyline: Sara Bejlek -184, Cristina Bucsa +156
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: Bucsa @ +156 via DraftKings
- First Set: Bejlek @ -110 via DraftKings
According to our best tennis bets, the top play to make on this match is Cristina Bucsa 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 Guadalajara Open match between Cristina Bucsa and Sara Bejlek is scheduled to start on Thursday at 2:00 PM ET.
- Who: Cristina Bucsa vs. Sara Bejlek
- Date: Thursday, September 17, 2026
- Approx. Time: 2:00 PM ET/11:00AM PT
- Tournament: WTA Guadalajara, Mexico Women's Singles 2026
- Round: Quarterfinals
All dates and times in this article are United States Eastern Time unless otherwise noted.
Conclusion
We predict Sara Bejlek, with a 60% win probability, will likely beat Cristina Bucsa at the WTA Guadalajara Open 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.



