Darja Vidmanova vs. Janice Tjen prediction, odds, picks for WTA Guadalajara Open 2026

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

Our leading predictive model gives Vidmanova a 51% chance of defeating Tjen at the WTA Guadalajara Open tournament. Additionally, Vidmanova has a 51% chance of winning the first set, while the under 22.5 games has a 54% 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: Janice Tjen -125, Darja Vidmanova +107
• First Set: Vidmanova +100, Tjen -125

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: Vidmanova @ +107 via DraftKings
• First Set: Tjen @ -135 via DraftKings

According to our tennis best bets, the top play to make on this match is Darja Vidmanova 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 Guadalajara Open match between Darja Vidmanova and Janice Tjen is scheduled to begin on Sunday at 3:10 PM ET.

• Who: Darja Vidmanova vs. Janice Tjen
• Date: Sunday, September 13, 2026
• Approx. Time: 3:10 PM ET/12:10PM PT
• Tournament: WTA Guadalajara, Mexico 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 Darja Vidmanova, with a 51% win probability, will likely beat Janice Tjen at the WTA Guadalajara 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.