Tereza Valentova vs. Lilli Tagger prediction, odds, picks for WTA Japan Open 2026

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

Our famous predictive model gives Valentova a 56% chance of beating Tagger at the WTA Japan Open tournament. Additionally, Valentova has a 54% chance of winning the first set, while the under 22.5 games has a 52% chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Lilli Tagger +104, Tereza Valentova -111
• First Set: Valentova -139, Tagger +110

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: Valentova @ -111 via DraftKings
• First Set: Tagger @ -130 via DraftKings

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

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 Tereza Valentova and Lilli Tagger is scheduled to commence on Wednesday at 12:00 AM ET.

• Who: Tereza Valentova vs. Lilli Tagger
• Date: Wednesday, October 21, 2026
• Approx. Time: 12:00 AM ET/9:00 PM PT
• Tournament: WTA Osaka, Japan 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 Tereza Valentova, with a 56% win probability, will likely beat Lilli Tagger 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.