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Belinda Bencic vs Magda Linette Prediction - WTA Ningbo 2025

Belinda Bencic will face Magda Linette in the round of 32 at the 2025 WTA Ningbo tournament on Monday.

This article features Stats Insider's prediction and tips for the Bencic vs Linette match, plus the latest betting odds in Australia.

Who Will Win?

Utilising advanced machine learning and data, Stats Insider has simulated the result of Monday's Bencic-Linette women's singles match 10,000 times.

Our leading predictive analytics model currently gives Bencic a 77% chance of defeating Linette at the WTA Ningbo tournament.

Bencic vs Linette: Odds

The current betting odds in Australia for Monday's WTA Ningbo match between Bencic and Linette are listed here:

  • Head to Head: Bencic $1.25, Linette $4.00
  • First Set: Bencic $1.33, Linette $3.40

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

Looking at the latest head-to-head odds, TAB currently has Bencic at $1.25 and Linette at $4.00.

TAB currently has odds for Bencic to win the first set at $1.33 and odds for Linette to win the first set at $3.40.

Bencic vs Linette: Best Bets

  • Head to Head: Linette at $4.00 with TAB
  • First Set: Linette at $1.72 with TAB (59% probability)

These Belinda Bencic vs Magda Linette betting tips are based on complex modelling and wagering intelligence to provide you with the best possible advice 24/7/365.

Although our predictive analytics model suggests that Bencic is more likely to win the match, taking Linette to win is our preferred 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 crucial to being profitable over the long run.

And while Bencic is more likely to win the first set on this occassion, our suggested bet of Linette ($1.72) is based on the likelihood of that happening, per our model, and the betting odds currently available.

Bencic vs Linette: Prediction

Stats Insider provides full betting coverage of the Belinda Bencic vs Magda Linette match at the WTA Ningbo tournament, including data-driven predictions and top betting tips.

Our model updates frequently, so keep checking this article for the latest betting tips before the Bencic-Linette match at the WTA Ningbo event.

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

Bencic vs Linette: WTA Ningbo Essential Details

The 2025 WTA Ningbo match between Belinda Bencic and Magda Linette is scheduled to start at 5:10pm AEDT.

  • Match: Belinda Bencic vs Magda Linette
  • Date: Monday 13 October 2025
  • Approx. Time: 5:10pm AEDT
  • Event: WTA Ningbo, China Women's Singles 2025
  • Round: Round of 32

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

Conclusion

Our Belinda Bencic vs Magda Linette predictions have been made thanks to 10,000 data-driven simulations of the game, all curated by our team of experienced data scientists and analysts. We use the latest in predictive analytics technology and machine learning to ensure our tennis tips are trustworthy and reliable, giving you the knowledge you need to make informed decisions with confidence.

If you decide to use our tennis predictions for betting purposes, it's crucial that you gamble responsibly and keep track of your money. 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, 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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