Anastasia Zakharova vs. Magda Linette prediction, odds, picks for WTA Guangzhou Open 2026

Using trusted machine learning and data analysis, we have re-simulated the outcome of Monday's Zakharova-Linette women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Linette a 53% chance of defeating Zakharova at the WTA Guangzhou Open tournament. Additionally, Linette has a 51% chance of winning the first set. The simulations also show Zakharova (+1.5) has a 53% chance of covering the games spread, while the over 21.5 games has a 52% 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: Magda Linette -116, Anastasia Zakharova +100
• First Set: Zakharova +100, Linette -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: Linette @ -116 via DraftKings
• First Set: Linette @ -120 via DraftKings

According to our tennis best bets, the top play to make on this match is Magda Linette 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 Guangzhou Open match between Anastasia Zakharova and Magda Linette is scheduled to begin on Monday at 11:00 PM ET.

• Who: Anastasia Zakharova vs. Magda Linette
• Date: Monday, October 26, 2026
• Approx. Time: 11:00 PM ET/8:00 PM PT
• Tournament: WTA Guangzhou, China 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 Magda Linette, with a 53% win probability, will likely beat Anastasia Zakharova at the WTA Guangzhou Open tournament.

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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.