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Iva Jovic vs Gabriela Knutson Prediction - WTA Auckland 2026

Iva Jovic will sqaure off with Gabriela Knutson in the round of 32 at the 2026 WTA Auckland tournament on Monday.

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

Who Will Win?

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

Our leading predictive analytics model gives Jovic an 81% chance of defeating Knutson at the WTA Auckland tournament.

Jovic vs Knutson: Odds

The latest betting odds in Australia for Monday's WTA Auckland match between Jovic and Knutson are shown here:

  • Head to Head: Jovic $1.16, Knutson $5.00
  • First Set: Jovic $1.28, Knutson $3.75

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

Looking at the latest head-to-head odds, TAB currently has Jovic at $1.16 and Knutson at $5.00.

TAB currently has odds for Jovic to win the first set at $1.28 and odds for Knutson to win the first set at $3.75.

Jovic vs Knutson: Betting Tips

  • Head to Head: Knutson at $5.00 with TAB
  • First Set: Knutson at $1.83 with TAB (56% probability)

These Iva Jovic vs Gabriela Knutson best bets are based on complex modelling and betting expertise to provide you with the best possible advice around the clock.

Even though our predictive analytics model indicates that Jovic is more likely to win the match, betting on Knutson to win is our preferred option due to the edge we found when comparing our data-led probabilities to the odds that are currently being offered.

Taking advantage of the edges published here at Stats Insider is one of the keys to being a profitable bettor over the long run.

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

Jovic vs Knutson: Prediction

Stats Insider provides full coverage of the Iva Jovic vs Gabriela Knutson match at the WTA Auckland tournament, including data-driven predictions and top betting tips.

Remember, our model updates regularly, so keep checking this article for the latest betting tips before the Jovic-Knutson match at the WTA Auckland event.

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

Jovic vs Knutson: WTA Auckland Essential Details

The 2026 WTA Auckland match between Iva Jovic and Gabriela Knutson is scheduled to begin at 9:30am AEDT.

  • Match: Iva Jovic vs Gabriela Knutson
  • Date: Monday 5 January 2026
  • Approx. Time: 9:30am AEDT
  • Event: WTA Auckland, New Zealand Women's Singles 2026
  • Round: Round of 32

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

Conclusion

Our Iva Jovic vs Gabriela Knutson predictions have been made thanks to 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, so that you can make informed decisions with confidence.

If you choose to use our tennis predictions for betting purposes, it's important to 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 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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