Moyuka Uchijima vs. Elise Mertens prediction, odds, picks for WTA Toray Pan Pacific Open 2026

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

Our independent predictive model currently gives Mertens a 78% chance of winning against Uchijima at the WTA Toray Pan Pacific Open tournament.

Latest betting odds

We have sourced the most up-to-date betting odds in America for this match, which are listed here:

• Moneyline: Elise Mertens -474, Moyuka Uchijima +490

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: Uchijima @ +490 via DraftKings
• First Set: Mertens @ -110 via DraftKings

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

Although Uchijima 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 Toray Pan Pacific Open match between Moyuka Uchijima and Elise Mertens is scheduled to begin on Sunday at 9:30 PM ET.

• Who: Moyuka Uchijima vs. Elise Mertens
• Date: Sunday, October 25, 2026
• Approx. Time: 9:30 PM ET/6:30 PM PT
• Tournament: WTA Tokyo, Japan 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 Elise Mertens, with a 78% win probability, will likely beat Moyuka Uchijima at the WTA Toray Pan Pacific 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.