Mia Pohankova vs. Maria Sakkari prediction, odds, picks for WTA Wuhan Open 2026

Using powerful machine learning and data, we have re-simulated the outcome of Wednesday's Pohankova-Sakkari women's singles match, forming part of our tennis predictions coverage.

Our independent predictive model currently gives Sakkari a 65% chance of winning against Pohankova at the WTA Wuhan Open tournament. Additionally, Sakkari has a 62% chance of winning the first set, while the under 21.5 games has a 51% 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: Maria Sakkari -227, Mia Pohankova +195
• First Set: Pohankova +162, Sakkari -200

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: Pohankova @ +195 via DraftKings
• First Set: Sakkari @ -115 via DraftKings

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

Although Pohankova 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 Wuhan Open match between Mia Pohankova and Maria Sakkari is scheduled to begin on Wednesday at 11:00 PM ET.

• Who: Mia Pohankova vs. Maria Sakkari
• Date: Wednesday, October 14, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Wuhan, China Women's Singles 2026
• Round: Round of 16

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

Conclusion

We predict Maria Sakkari, with a 65% win probability, will likely beat Mia Pohankova at the WTA Wuhan 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.