Jessica Pegula vs. Linda Noskova prediction, odds, picks for WTA Finals 2026

Using trusted machine learning and statistical analysis, we have re-simulated the result of Thursday's Pegula-Noskova women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Noskova a 52% chance of winning against Pegula at the WTA Finals 2026 tournament. Additionally, Noskova has a 51% chance of winning the first set, while the under 23.5 games has a 58% 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: Linda Noskova -115, Jessica Pegula +100
• First Set: Pegula +100, Noskova -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: Pegula @ +100 via DraftKings
• First Set: Noskova @ -140 via DraftKings

According to our tennis best bets, the top play to make on this match is Jessica Pegula 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 Jessica Pegula and Linda Noskova is scheduled to start on Thursday at 4:10 PM ET.

• Who: Jessica Pegula vs. Linda Noskova
• Date: Thursday, November 12, 2026
• Approx. Time: 4:10 PM ET/1:10 PM PT
• Tournament: WTA Finals Women's Singles 2026
• Round: 1

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

Conclusion

We predict Linda Noskova, with a 52% win probability, will likely beat Jessica Pegula 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.