Rebecca Sramkova vs. Maja Chwalinska prediction, odds, picks for WTA Singapore 2026

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

Our independent predictive model gives Chwalinska a 60% chance of winning against Sramkova at the WTA Singapore tournament. Additionally, Chwalinska has a 58% chance of winning the first set, 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: Maja Chwalinska -154, Rebecca Sramkova +150
• First Set: Sramkova +120, Chwalinska -152

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: Sramkova @ +150 via DraftKings
• First Set: Sramkova @ +120 via DraftKings

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

Although Sramkova 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 Rebecca Sramkova and Maja Chwalinska is scheduled to begin on Sunday at 11:00 PM ET.

• Who: Rebecca Sramkova vs. Maja Chwalinska
• 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 in this article are United States Eastern Time unless otherwise stated.

Conclusion

We predict Maja Chwalinska, with a 60% win probability, will likely beat Rebecca Sramkova 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.