Sohyun Park vs. Robin Montgomery prediction, odds, picks for WTA Korea Open 2026

Using trusted machine learning and data, we have re-simulated the outcome of Monday's Park-Montgomery women's singles match, forming part of our tennis predictions coverage.

Our independent predictive model gives Montgomery an 85% chance of defeating Park at the WTA Korea Open tournament.

Latest betting odds

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

• Moneyline: Robin Montgomery -833, Sohyun Park +680

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: Park @ +680 via DraftKings
• First Set: Montgomery @ +160 via DraftKings

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

Although Park 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 Korea Open match between Sohyun Park and Robin Montgomery is scheduled to commence on Monday at 11:00 PM ET.

• Who: Sohyun Park vs. Robin Montgomery
• Date: Monday, September 21, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Seoul, Korea Republic Women's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Robin Montgomery, with an 85% win probability, will likely beat Sohyun Park at the WTA Korea 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.