Using innovative machine learning and statistical analysis, we have re-simulated the outcome of Friday’s Wang-Prozorova women’s singles match, forming part of our tennis predictions coverage.
Our independent predictive model currently gives Wang a 68% chance of beating Prozorova at the WTA Singapore tournament.
Additionally, Wang has a 64% chance of winning the first set. The simulations also show that the oddsmakers have got it right with the -3.5 games spread, with each player projected to have a 50-50 chance of covering, while the under 22.5 games has a 55% chance of hitting, 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: Tatiana Prozorova +210, Xinyu Wang -220
First Set: Wang -189, Prozorova +150
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 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: Wang @ -220 via DraftKings
First Set: Prozorova @ -135 via DraftKings
According to our tennis best bets, the top play to make on this match is over 22.5 total games.
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 begin on Friday at 2:50 AM ET.
Who: Xinyu Wang vs. Tatiana Prozorova
Date: Friday, September 25, 2026
Approx. Time: 2:50 AM ET/11:50PM 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 68% 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.