Dayana Yastremska vs. Cristina Bucsa prediction, odds, picks for WTA Wuhan Open 2026

Using trusted machine learning and data analysis, we have re-simulated the outcome of Sunday's Yastremska-Bucsa women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model currently gives Yastremska a 54% chance of defeating Bucsa at the WTA Wuhan Open tournament. Additionally, Yastremska has a 54% 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: Cristina Bucsa +115, Dayana Yastremska -137
• First Set: Yastremska -139, Bucsa +110

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 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 @ +115 via DraftKings
• First Set: Bucsa @ +110 via DraftKings

According to our best tennis bets, the top play to make on this match is Cristina Bucsa to win.

Although Bucsa is less than likely to win, she provides the best value at the current available odds.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & first serve details

The WTA Wuhan Open match between Dayana Yastremska and Cristina Bucsa is scheduled to start on Sunday at 10:00 PM ET.

• Who: Dayana Yastremska vs. Cristina Bucsa
• Date: Sunday, October 11, 2026
• Approx. Time: 10:00 PM ET/7:00PM PT
• Tournament: WTA Wuhan, China Women's Singles 2026
• Round: Round of 64

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

Conclusion

We predict Dayana Yastremska, with a 54% win probability, will likely beat Cristina Bucsa at the WTA Wuhan 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.