Karolina Muchova vs. Caty McNally prediction, odds, picks for WTA Wuhan Open 2026

Using trusted machine learning and data, we have re-simulated the result of Wednesday's Muchova-McNally women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Muchova a 79% chance of defeating McNally at the WTA Wuhan Open tournament. Additionally, Muchova has a 74% chance of winning the first set. The simulations also show Muchova (-4.5) has a 53% chance of covering the games spread, while the over 20.5 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: Caty McNally +365, Karolina Muchova -461
• First Set: Muchova -357, McNally +275

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 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: McNally @ +365 via DraftKings
• First Set: McNally @ -105 via DraftKings

According to our tennis best bets, the top play to make on this match is over 20.5 total games.

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 Karolina Muchova and Caty McNally is scheduled to start on Wednesday at 12:10 AM ET.

• Who: Karolina Muchova vs. Caty McNally
• Date: Wednesday, October 14, 2026
• Approx. Time: 12:10 AM ET/9:10PM PT
• Tournament: WTA Wuhan, 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 Karolina Muchova, with a 79% win probability, will likely beat Caty McNally 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.