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Naomi Osaka vs Suzan Lamens Prediction - WTA Osaka 2025

Naomi Osaka will sqaure off with Suzan Lamens in the round of 16 at the 2025 WTA Osaka tournament on Wednesday.

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

Who Will Win?

Utilising advanced computer power and data, Stats Insider has simulated the result of Wednesday's Osaka-Lamens women's singles match 10,000 times.

Our leading predictive analytics model currently gives Osaka an 82% chance of defeating Lamens at the WTA Osaka tournament.

Osaka vs Lamens: Odds

The current betting odds in Australia for Wednesday's WTA Osaka match between Osaka and Lamens are listed here:

  • Head to Head: Osaka $1.16, Lamens $5.00
  • First Set: Osaka $1.25, Lamens $4.00

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

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

TAB currently has odds for Osaka to win the first set at $1.25 and odds for Lamens to win the first set at $4.00.

Osaka vs Lamens: Best Bets

  • Head to Head: Lamens at $5.00 with TAB
  • First Set: Lamens at $1.83 with TAB (53% probability)

Our Naomi Osaka vs Suzan Lamens predictions are based on complex modelling and wagering experience to help you place more informed bets with your chosen online bookie.

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

Using the edges seen here at Stats Insider is crucial to being a profitable bettor over the long run.

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

Osaka vs Lamens: Prediction

Stats Insider provides full coverage of the Naomi Osaka vs Suzan Lamens match at the WTA Osaka tournament, including data-driven predictions and live win probabilitiestips.

Remember, our model updates regularly, so refresh this page for the latest betting predictions before the Osaka-Lamens match at the WTA Osaka event.

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

Osaka vs Lamens: WTA Osaka Essential Details

The 2025 WTA Osaka match between Naomi Osaka and Suzan Lamens is scheduled to commence at 3:00pm AEDT.

  • Match: Naomi Osaka vs Suzan Lamens
  • Date: Wednesday 15 October 2025
  • Approx. Time: 3:00pm AEDT
  • Event: WTA Osaka, Japan Women's Singles 2025
  • Round: Round of 16

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

Conclusion

Our Naomi Osaka vs Suzan Lamens predictions have been made thanks to 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, so that you can make informed decisions with confidence.

If you decide to use our tennis predictions for betting purposes, it's vital that you 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 go-to source for betting on tennis in Australia, with the latest tennis betting news, tips 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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