Marta Kostyuk vs. Coco Gauff prediction, odds, picks for WTA Finals 2026

Using innovative machine learning and data, we have re-simulated the outcome of Thursday's Kostyuk-Gauff women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model gives Gauff a 73% chance of defeating Kostyuk at the WTA Finals 2026 tournament. Additionally, Gauff has a 69% chance of winning the first set, while the under 21.5 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: Coco Gauff -310, Marta Kostyuk +250
• First Set: Kostyuk +200, Gauff -250

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: Kostyuk @ +250 via DraftKings
• First Set: Gauff @ -130 via DraftKings

According to our tennis best bets, the top play to make on this match is Marta Kostyuk to win the first set.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & first serve details

The WTA Finals 2026 match between Marta Kostyuk and Coco Gauff is scheduled to start on Thursday at 3:00 PM ET.

• Who: Marta Kostyuk vs. Coco Gauff
• Date: Thursday, November 12, 2026
• Approx. Time: 3:00 PM ET/12:00 PM PT
• Tournament: WTA Finals Women's Singles 2026
• Round: 1

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

Conclusion

We predict Coco Gauff, with a 73% win probability, will likely beat Marta Kostyuk at the WTA Finals 2026 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.