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Jasmine Paolini vs Anhelina Kalinina Prediction - WTA Ningbo 2026

Jasmine Paolini will face Anhelina Kalinina in the round of 32 at the 2026 WTA Ningbo tournament on Tuesday.

This article features Stats Insider's best betting tips for the Paolini vs Kalinina match, plus the latest betting odds in Australia.

Who Will Win?

Using advanced machine learning and data, Stats Insider has simulated the result of Tuesday's Paolini-Kalinina women's singles match 10,000 times.

Our proven predictive analytics model gives Paolini a 64% chance of defeating Kalinina at the WTA Ningbo tournament.

Paolini vs Kalinina: Odds

The latest betting odds in Australia for Tuesday's WTA Ningbo match between Paolini and Kalinina are listed here:

  • Head to Head: Paolini $1.44, Kalinina $2.75
  • First Set: Paolini $1.50, Kalinina $2.62

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

Looking at the latest head-to-head odds, TAB currently has Paolini at $1.44 and Kalinina at $2.75.

TAB currently has odds for Paolini to win the first set at $1.50 and odds for Kalinina to win the first set at $2.62.

Paolini vs Kalinina: Best Bets

  • Head to Head: Kalinina at $2.75 with TAB
  • First Set: Kalinina at $1.83 with TAB (57% probability)

These Jasmine Paolini vs Anhelina Kalinina best bets are based on complex modelling and betting expertise to help you place better bets with your chosen online bookie.

Even though our predictive analytics model indicates that Paolini is more likely to win the match, taking Kalinina to win is the best option because of the edge we discovered when comparing our data-led probabilities to the odds that are currently available.

Taking advantage of the edges seen on Stats Insider is one of the keys to achieving long-term profitability.

And while Paolini is more likely to win the first set on this occassion, our recommended bet of Kalinina ($1.83) is based on the chance of that happening, per our model, and the betting odds currently available.

Paolini vs Kalinina: Prediction

Stats Insider provides full coverage of the Jasmine Paolini vs Anhelina Kalinina match at the WTA Ningbo tournament, including data-driven predictions and free tips.

Remember, our model updates frequently, so keep checking this page for the latest betting tips before the Paolini-Kalinina match at the WTA Ningbo tournament.

As always, see our Best Bets for the best tips for every tennis match, plus predictions for a wide range of other sports.

Paolini vs Kalinina: WTA Ningbo Essential Details

The 2026 WTA Ningbo match between Jasmine Paolini and Anhelina Kalinina is scheduled to start at 5:10pm AEDT.

  • Match: Jasmine Paolini vs Anhelina Kalinina
  • Date: Tuesday 20 October 2026
  • Approx. Time: 5:10pm AEDT
  • Event: WTA Ningbo, China Women's Singles 2026
  • Round: Round of 32

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

Conclusion

Our Jasmine Paolini vs Anhelina Kalinina predictions have been made based on 10,000 data-driven simulations of the game, carefully curated by our team of skilled data scientists and analysts. We use cutting-edge 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 important to gamble responsibly and know when to stop. For free and confidential support, call 1800 858 858 or visit gamblinghelponline.org.au.

More on Tennis

Stats Insider is your home 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.

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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