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Suzan Lamens vs Carolina Alves Prediction - WTA Sao Paulo 2026

Suzan Lamens will face Carolina Alves in the round of 32 at the 2026 WTA Sao Paulo tournament on Thursday.

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

Who Will Win?

Utilising trusted computer power and data, Stats Insider has simulated the outcome of Thursday's Lamens-Alves women's singles match 10,000 times.

Our proven predictive analytics model currently gives Lamens an 82% chance of beating Alves at the WTA Sao Paulo tournament.

Lamens vs Alves: Odds

The current betting odds in Australia for Thursday's WTA Sao Paulo match between Lamens and Alves are shown here:

  • Head to Head: Lamens $1.16, Alves $5.00
  • First Set: Lamens $1.25, Alves $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 Lamens at $1.16 and Alves at $5.00.

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

Lamens vs Alves: Betting Tips

  • Head to Head: Alves at $5.00 with TAB
  • First Set: Alves at $1.80 with TAB (64% probability) 🔥

When you see a 🔥, that means you've found one of Stats Insider's best bets for today across all sports.

Stats Insider's Suzan Lamens vs Carolina Alves predictions are based on market-leading modelling and wagering expertise to bring you the best possible advice around the clock.

Even though our predictive analytics model suggests that Lamens is more likely to win the match, betting on Alves 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 crucial to achieving long-term profitability as a bettor.

And while Lamens is more likely to win the first set on this occassion, our suggested bet of Alves ($1.80) is based on the chance of that happening, per our model, and the betting odds currently available.

Lamens vs Alves: Prediction

Stats Insider provides full betting coverage of the Suzan Lamens vs Carolina Alves match at the WTA Sao Paulo tournament, including data-driven predictions and top betting tips.

Our model updates regularly, so bookmark this article for the latest betting predictions before the Lamens-Alves match at the WTA Sao Paulo tournament.

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

Lamens vs Alves: WTA Sao Paulo Essential Details

The 2026 WTA Sao Paulo match between Suzan Lamens and Carolina Alves is scheduled to begin at 12:00am AEST.

  • Match: Suzan Lamens vs Carolina Alves
  • Date: Thursday 17 September 2026
  • Approx. Time: 12:00am AEST
  • Event: WTA Sao Paulo, Brazil Women's, Singles 2026
  • Round: Round of 32

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

Conclusion

Our Suzan Lamens vs Carolina Alves predictions are based on 10,000 data-driven simulations of the game, carefully 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 confidence to make informed decisions.

If you decide to use our tennis predictions for betting purposes, it's vital that you gamble responsibly and manage your finances effectively. 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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