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Emiliana Arango vs Liudmila Samsonova Prediction - WTA Wuhan 2025

Emiliana Arango will sqaure off with Liudmila Samsonova in the round of 64 at the 2025 WTA Wuhan tournament on Tuesday.

This article features Stats Insider's top betting tips for the Arango vs Samsonova match, along with the latest betting odds in Australia.

Who Will Win?

Utilising trusted computer power and data, Stats Insider has simulated the outcome of Tuesday's Arango-Samsonova women's singles match 10,000 times.

Our proven predictive analytics model currently gives Samsonova a 73% chance of defeating Arango at the WTA Wuhan tournament.

Arango vs Samsonova: Odds

The latest betting odds in Australia for Tuesday's WTA Wuhan match between Arango and Samsonova are shown here:

  • Head to Head: Arango $3.50, Samsonova $1.30
  • First Set: Arango $0.00, Samsonova $0.00

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

Looking at the latest head-to-head odds, TAB currently has Arango at $3.50 and Samsonova at $1.30.

currently has odds for Arango to win the first set at $0.00 and odds for Samsonova to win the first set at $0.00.

Arango vs Samsonova: Best Bets

  • Head to Head: Arango at $3.50 with TAB

Today's Emiliana Arango vs Liudmila Samsonova betting tips are based on detailed simulations and wagering intelligence to provide you with the best possible advice around the clock.

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

Using the edges published on Stats Insider is one of the keys to achieving long-term profitability as a bettor.

And while Samsonova is more likely to win the first set on this occassion, our suggested bet of Samsonova ($0.00) is based on the chance of that happening, per our model, and the betting odds currently available.

Arango vs Samsonova: Prediction

Stats Insider provides full coverage of the Emiliana Arango vs Liudmila Samsonova match at the WTA Wuhan tournament, including data-driven predictions and live in-play probabilitiestips.

Remember, our model updates frequently, so keep checking this article for the latest betting predictions before the Arango-Samsonova match at the WTA Wuhan event.

As always, see Stats Insider's Best Bets to get betting tips for every tennis match, plus predictions for a wide range of other sports.

Arango vs Samsonova: WTA Wuhan Essential Details

The 2025 WTA Wuhan match between Emiliana Arango and Liudmila Samsonova is scheduled to start at 2:00pm AEDT.

  • Match: Emiliana Arango vs Liudmila Samsonova
  • Date: Tuesday 7 October 2025
  • Approx. Time: 2:00pm AEDT
  • Event: WTA Wuhan, China Women's Singles 2025
  • Round: Round of 64

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

Conclusion

Our Emiliana Arango vs Liudmila Samsonova predictions have been made after running 10,000 data-driven simulations of the game, carefully curated by our team of experienced data scientists and analysts. We use cutting-edge technology and machine learning to ensure our tennis tips are accurate and reliable, giving you the confidence to make informed decisions.

If you decide to use our predictions for betting purposes, it's vital to gamble responsibly and manage your finances effectively. 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 match, 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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