Oksana Selekhmeteva vs. Teodora Kostovic prediction, odds, picks for WTA Chennai Open 2026

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

Our independent predictive model currently gives Kostovic a 54% chance of winning against Selekhmeteva at the WTA Chennai 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: Teodora Kostovic -131, Oksana Selekhmeteva +126

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: Selekhmeteva @ +126 via DraftKings
• First Set: Kostovic @ -130 via DraftKings

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

Although Selekhmeteva 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 Chennai Open match between Oksana Selekhmeteva and Teodora Kostovic is scheduled to commence on Tuesday at 4:30 AM ET.

• Who: Oksana Selekhmeteva vs. Teodora Kostovic
• Date: Tuesday, November 3, 2026
• Approx. Time: 4:30 AM ET/1:30 AM PT
• Tournament: WTA Chennai, India, Women's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Teodora Kostovic, with a 54% win probability, will likely beat Oksana Selekhmeteva at the WTA Chennai 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.