Vivian Wolff vs. Oleksandra Oliynykova prediction, odds, picks for WTA Singapore 2026

Using innovative machine learning and data, we have re-simulated the result of Sunday's Wolff-Oliynykova women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model gives Oliynykova a 68% chance of winning against Wolff at the WTA Singapore tournament. Additionally, Oliynykova has a 64% chance of winning the first set, while the over 19.5 games has a 59% 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: Oleksandra Oliynykova -278, Vivian Wolff +228
• First Set: Wolff +200, Oliynykova -250

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: Wolff @ +228 via DraftKings
• First Set: Oliynykova @ -115 via DraftKings

According to our tennis best bets, the top play to make on this match is Vivian Wolff 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 Singapore match between Vivian Wolff and Oleksandra Oliynykova is scheduled to commence on Sunday at 11:00 PM ET.

• Who: Vivian Wolff vs. Oleksandra Oliynykova
• Date: Sunday, September 20, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Singapore, Singapore Women's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Oleksandra Oliynykova, with a 68% win probability, will likely beat Vivian Wolff 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.