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McCartney Kessler vs Linda Noskova Prediction - WTA Tokyo 2025

McCartney Kessler will sqaure off with Linda Noskova in the round of 16 at the 2025 WTA Tokyo tournament on Wednesday.

This article features Stats Insider's prediction and tips for the Kessler vs Noskova match, as well as the latest betting odds in Australia.

Who Will Win?

Based on advanced computer power and data, Stats Insider has simulated the result of Wednesday's Kessler-Noskova women's singles match 10,000 times.

Our independent predictive analytics model gives Noskova a 57% chance of winning against Kessler at the WTA Tokyo tournament.

Kessler vs Noskova: Odds

The current betting odds in Australia for Wednesday's WTA Tokyo match between Kessler and Noskova are shown below:

  • Head to Head: Kessler $2.30, Noskova $1.61
  • First Set: Kessler $2.20, Noskova $1.66

Odds are correct at the time of publication and subject to change.

Looking at the latest head-to-head odds, TAB currently has Kessler at $2.30 and Noskova at $1.61.

TAB currently has odds for Kessler to win the first set at $2.20 and odds for Noskova to win the first set at $1.66.

Kessler vs Noskova: Best Bets

  • Head to Head: Kessler at $2.30 with TAB
  • First Set: Noskova at $2.00 with TAB (50% probability)

Our McCartney Kessler vs Linda Noskova best bets are based on market-leading modelling and betting expertise to help you place more informed bets with your chosen online bookie.

Even though our predictive analytics model indicates that Noskova is more likely to win the match, taking Kessler to win is the best option due to the edge we discovered when comparing our data-led probabilities to the odds that are currently being offered.

Using the edges seen here at Stats Insider is one of the keys to being profitable over the long run.

And while Noskova is more likely to win the first set on this occassion, our suggested bet of Noskova ($2.00) is based on the expectation of that happening, per our model, and the betting odds currently available.

Kessler vs Noskova: Prediction

Stats Insider provides full betting coverage of the McCartney Kessler vs Linda Noskova match at the WTA Tokyo tournament, including data-driven predictions and expert tips.

Remember, our model updates frequently, so bookmark this page for the latest betting predictions before the Kessler-Noskova match at the WTA Tokyo event.

As always, see our Best Bets to get betting tips on every tennis match, as well as predictions for a wide range of other sports.

Kessler vs Noskova: WTA Tokyo Essential Details

The 2025 WTA Tokyo match between McCartney Kessler and Linda Noskova is scheduled to commence at 12:30pm AEDT.

  • Match: McCartney Kessler vs Linda Noskova
  • Date: Wednesday 22 October 2025
  • Approx. Time: 12:30pm AEDT
  • Event: WTA Tokyo, Japan Women's Singles 2025
  • Round: Round of 16

All dates and times in this article are in Australian Eastern Daylight Time (AEDT), unless otherwise noted.

Conclusion

Our McCartney Kessler vs Linda Noskova predictions are the result of 10,000 data-driven simulations of the game, carefully curated by our team of expert data scientists and analysts. We use the latest in predictive analytics technology and machine learning to ensure our tennis tips are trustworthy and reliable, so that you can make informed decisions with confidence.

If you decide to use our predictions for betting purposes, it's vital to gamble responsibly and keep track of your money. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

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Stats Insider is your go-to source for betting on tennis in Australia, with the latest tennis betting news, predictions for every tennis tournament, and our in-house approach to accurately ranking the world's top 100 men's and women's players.

Stats Insider

Stats Insider, Australia's leading predictive analytics website, offers Australian sports fans innovative tools and content to enhance their enjoyment of major sporting events both domestically and internationally. Our goal is to transform the sports fan experience by providing readily accessible, data-driven content for sports enthusiasts like us.

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