Using trusted machine learning and data analysis, we have re-simulated the outcome of Tuesday’s Muchova-Osaka women’s singles match, forming part of our tennis predictions coverage.
Our independent predictive model currently gives Muchova a 56% chance of winning against Osaka at the WTA China Open tournament.
Additionally, Muchova has a 56% chance of winning the first set. The simulations also show Muchova (-1.5) has a 53% chance of covering the games spread, while the under 22.5 games has a 53% 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: Naomi Osaka +122, Karolina Muchova -140
First Set: Muchova -139, Osaka +110
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: Osaka @ +122 via DraftKings
First Set: Osaka @ -125 via DraftKings
According to our tennis best bets, the top play to make on this match is Naomi Osaka to win.
Although Osaka 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 China Open match between Karolina Muchova and Naomi Osaka is scheduled to commence on Tuesday at 3:00 AM ET.
Who: Karolina Muchova vs. Naomi Osaka
Date: Tuesday, October 6, 2026
Approx. Time: 3:00 AM ET/12:00AM PT
Tournament: WTA Beijing, China Women’s Singles 2026
Round: Round of 16
All dates and times mentioned in this article are United States Eastern Time unless otherwise stated.
Conclusion
We predict Karolina Muchova, with a 56% win probability, will likely beat Naomi Osaka at the WTA China 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.