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Alycia Parks vs Liudmila Samsonova Prediction - WTA Beijing 2023

Alycia Parks takes on Liudmila Samsonova in the round of 64 at the 2023 WTA Beijing tournament on Sunday.

Stats Insider's free betting tips for Parks vs Samsonova, plus the latest betting odds in Australia, are featured below.

Who Will Win: Parks vs Samsonova

Based on high-tech machine learning and data, Stats Insider has simulated Sunday's Parks-Samsonova women's singles match 10,000 times.

Our proven predictive analytics model currently gives Samsonova a 79% chance of beating Parks at the WTA Beijing tournament.

More: Parks vs Samsonova 2023 Match Centre

Parks vs Samsonova: Odds

The current betting odds in Australia for Sunday's WTA Beijing match between Parks and Samsonova are listed below:

  • Head to Head: Parks $4.00, Samsonova $1.22
  • First Set: Parks $3.20, Samsonova $1.32

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

Looking at the latest head-to-head odds, TAB currently has Parks at $4.00 and Samsonova at $1.22.

TAB currently has odds for Parks to win the first set at $3.20 and odds for Samsonova to win the first set at $1.32.

More: Live Scores for All Sports

Parks vs Samsonova: Betting Tips

  • Head to Head: Samsonova at $1.22 with TAB (79% probability)
  • First Set: Samsonova at $1.80 with TAB (53% probability)

These Alycia Parks vs Liudmila Samsonova best bets are based on world-class simulations and betting intelligence to provide you with the best possible advice 24/7/365.

While Samsonova is more likely to win the first set on this occassion, our suggested bet of Samsonova ($1.80) is based on the expectation of that happening, per our model, and the betting odds currently available.

Parks vs Samsonova: Prediction

For more information, click or tap See Matchup.

Stats Insider has full coverage of Alycia Parks vs Liudmila Samsonova at the WTA Beijing tournament, including pre-match predictions, expert tips, and live in-play probabilities.

Remember, our model updates frequently, so keep checking this page for the latest betting analysis before the Parks-Samsonova match at the WTA Beijing tournament.

As always, see Stats Insider's Best Bets to get the best tips on every tennis match, as well as a host of other sports that we offer predictions on.

Parks vs Samsonova: WTA Beijing Preview

The 2023 WTA Beijing match between Alycia Parks and Liudmila Samsonova is scheduled to start at 3:30pm AEDT.

  • Match: Alycia Parks vs Liudmila Samsonova
  • Date: Sunday 1 October 2023
  • Approx. Time: 3:30pm AEDT
  • Event: WTA Beijing, China Women's Singles 2023
  • Round: Round of 64

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

Our predictions for Alycia Parks vs Liudmila Samsonova are based on 10,000 data-driven simulations of the game, all 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 accurate and reliable, giving you the confidence to make informed decisions.

If you decide to use our predictions for betting purposes, it's crucial to gamble responsibly and manage your finances effectively. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

More on Tennis

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

Ryan Leaver

Ryan Leaver is a respected journalist and lifelong sports fan who is widely regarded as one of Australia's most trusted sources for accurate and up-to-date information across various sports. He holds a Bachelor's Degree in Journalism (Sport) from La Trobe University, which strengthens his credibility in the field. Ryan, who previously worked at Triple M, where he provided comprehensive coverage of the AFL and cricket, is renowned for his extensive knowledge and ability to deliver the latest insights.

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