Maria Sakkari vs. Nao Hibino prediction, odds, picks for WTA Singapore 2026

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

Our leading predictive model currently gives Sakkari an 80% chance of beating Hibino at the WTA Singapore tournament. Additionally, Sakkari has a 75% chance of winning the first set. The simulations also show Hibino (+5.5) has a 53% chance of covering the games spread, while the over 19.5 games has a 56% 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: Nao Hibino +390, Maria Sakkari -500
• First Set: Sakkari -357, Hibino +275

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: Hibino @ +390 via DraftKings
• First Set: Hibino @ -110 via DraftKings

According to our tennis best bets, the top play to make on this match is over 19.5 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 Maria Sakkari and Nao Hibino is scheduled to commence on Thursday at 7:40 AM ET.

• Who: Maria Sakkari vs. Nao Hibino
• Date: Thursday, September 24, 2026
• Approx. Time: 7:40 AM ET/4:40AM PT
• Tournament: WTA Singapore, Singapore Women's Singles 2026
• Round: Round of 16

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

Conclusion

We predict Maria Sakkari, with an 80% win probability, will likely beat Nao Hibino 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.