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Cameron Norrie vs Hugo Gaston Prediction - ATP Auckland Open 2026

Cameron Norrie will take on Hugo Gaston in the round of 32 at the 2026 ATP Auckland Open tournament on Monday.

This article features Stats Insider's top betting tips for the Norrie vs Gaston match, as well as the latest betting odds in Australia.

Who Will Win?

Using advanced machine learning and data, Stats Insider has simulated the outcome of Monday's Norrie-Gaston men's singles match 10,000 times.

Our proven predictive analytics model gives Norrie a 62% chance of beating Gaston at the ATP Auckland Open tournament.

Norrie vs Gaston: Odds

The latest betting odds in Australia for Monday's ATP Auckland Open match between Norrie and Gaston are listed below:

  • Head to Head: Norrie $1.50, Gaston $2.62
  • First Set: Norrie $1.57, Gaston $2.37

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

Looking at the latest head-to-head odds, TAB currently has Norrie at $1.50 and Gaston at $2.62.

TAB currently has odds for Norrie to win the first set at $1.57 and odds for Gaston to win the first set at $2.37.

Norrie vs Gaston: Best Bets

  • Head to Head: Gaston at $2.62 with TAB
  • First Set: Gaston at $1.90 with TAB (50% probability)

Our Cameron Norrie vs Hugo Gaston betting tips are based on market-leading simulations and betting intelligence to provide you with the best possible advice 24/7.

Even though our predictive analytics model indicates that Norrie is more likely to win the match, taking Gaston to win is our preferred option due to the edge we identified when comparing our data-led probabilities to the odds that are currently available.

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

And while Norrie is more likely to win the first set on this occassion, our suggested bet of Gaston ($1.90) is based on the likelihood of that happening, per our model, and the betting odds currently available.

Norrie vs Gaston: Prediction

Stats Insider provides full coverage of the Cameron Norrie vs Hugo Gaston match at the ATP Auckland Open tournament, including data-driven predictions and expert tips.

Our model updates frequently, so keep checking this page for the latest betting tips before the Norrie-Gaston match at the ATP Auckland Open 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.

Norrie vs Gaston: ATP Auckland Open Essential Details

The 2026 ATP Auckland Open match between Cameron Norrie and Hugo Gaston is scheduled to begin at 4:00pm AEDT.

  • Match: Cameron Norrie vs Hugo Gaston
  • Date: Monday 12 January 2026
  • Approx. Time: 4:00pm AEDT
  • Event: ATP Auckland, New Zealand Men's Singles 2026
  • Round: Round of 32

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

Conclusion

Our Cameron Norrie vs Hugo Gaston predictions are the result of 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 confidence to make informed decisions.

If you choose to use our 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.

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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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