Viktorija Golubic vs. Mai Hontama prediction, odds, picks for WTA Japan Open 2026

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

Our independent predictive model currently gives Golubic a 74% chance of beating Hontama at the WTA Japan Open tournament. Additionally, Golubic has a 70% 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: Mai Hontama +250, Viktorija Golubic -333
• First Set: Golubic -278, Hontama +220

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 available 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: Golubic @ -333 via DraftKings
• First Set: Hontama @ +220 via DraftKings

According to our tennis best bets, the top play to make on this match is Viktorija Golubic 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 Japan Open match between Viktorija Golubic and Mai Hontama is scheduled to commence on Sunday at 10:30 PM ET.

• Who: Viktorija Golubic vs. Mai Hontama
• Date: Sunday, October 18, 2026
• Approx. Time: 10:30 PM ET/7:30PM PT
• Tournament: WTA Osaka, Japan 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 Viktorija Golubic, with a 74% win probability, will likely beat Mai Hontama at the WTA Japan Open 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.