Viktorija Golubic vs. Elvina Kalieva prediction, odds, picks for WTA China Open 2026

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

Our leading predictive model gives Golubic a 62% chance of defeating Kalieva at the WTA China Open tournament. Additionally, Golubic has a 60% chance of winning the first set. The simulations also show Kalieva (+3.5) has a 53% chance of covering the games spread, while the under 22.5 games has a 56% 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: Elvina Kalieva +175, Viktorija Golubic -192
• First Set: Golubic -175, Kalieva +137

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities 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: Kalieva @ +175 via DraftKings
• First Set: Kalieva @ -140 via DraftKings

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

Although Kalieva 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 China Open match between Viktorija Golubic and Elvina Kalieva is scheduled to commence on Wednesday at 12:10 AM ET.

• Who: Viktorija Golubic vs. Elvina Kalieva
• Date: Wednesday, September 30, 2026
• Approx. Time: 12:10 AM ET/9:10PM PT
• Tournament: WTA Beijing, China Women's Singles 2026
• Round: Round of 128

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

Conclusion

We predict Viktorija Golubic, with a 62% win probability, will likely beat Elvina Kalieva at the WTA China 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.