Xinyu Wang vs. Tatiana Prozorova prediction, odds, picks for WTA Singapore 2026

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

Our leading predictive model gives Wang a 60% chance of beating Prozorova at the WTA Singapore tournament. Additionally, Wang has a 60% chance of winning the first set, while the under 22.5 games has a 54% chance of hitting, according to our model.

Latest betting odds

We have researched the most up-to-date betting odds in America for this match, which are listed here:

• Moneyline: Tatiana Prozorova +176, Xinyu Wang -175
• First Set: Wang -164, Prozorova +130

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: Prozorova @ +176 via DraftKings
• First Set: Prozorova @ -130 via DraftKings

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

Although Prozorova 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 Singapore match between Xinyu Wang and Tatiana Prozorova is scheduled to start on Friday at 2:30 AM ET.

• Who: Xinyu Wang vs. Tatiana Prozorova
• Date: Friday, September 25, 2026
• Approx. Time: 2:30 AM ET/11:30PM PT
• Tournament: WTA Singapore, Singapore Women's Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Xinyu Wang, with a 60% win probability, will likely beat Tatiana Prozorova at the WTA Singapore 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.