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Coco Gauff vs Elena Rybakina Prediction - WTA Toronto 2026

Coco Gauff will sqaure off with Elena Rybakina in the semi-finals at the 2026 WTA Toronto tournament on Thursday.

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

Who Will Win?

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

Our proven predictive analytics model currently gives Gauff a 53% chance of winning against Rybakina at the WTA Toronto tournament.

Gauff vs Rybakina: Odds

The latest betting odds in Australia for Thursday's WTA Toronto match between Gauff and Rybakina are shown below:

  • Head to Head: Gauff $1.72, Rybakina $2.10
  • First Set: Gauff $1.80, Rybakina $2.00

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

Looking at the latest head-to-head odds, TAB currently has Gauff at $1.72 and Rybakina at $2.10.

TAB currently has odds for Gauff to win the first set at $1.80 and odds for Rybakina to win the first set at $2.00.

Gauff vs Rybakina: Best Bets

  • Head to Head: Rybakina at $2.10 with TAB
  • First Set: Rybakina at $2.00 with TAB

Stats Insider's Coco Gauff vs Elena Rybakina predictions are based on market-leading modelling and betting expertise to help you place more informed bets with your chosen online bookie.

Although our predictive analytics model indicates that Gauff is more likely to win the match, betting on Rybakina to win is our preferred option due to the edge we found when comparing our data-led probabilities to the odds that are currently available.

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

And while Gauff is more likely to win the first set on this occassion, our recommended bet of Rybakina ($2.00) is based on the chance of that happening, per our model, and the betting odds currently available.

Gauff vs Rybakina: Prediction

Stats Insider provides full betting coverage of the Coco Gauff vs Elena Rybakina match at the WTA Toronto tournament, including data-driven predictions and live win probabilitiestips.

Remember, our model updates frequently, so bookmark this page for the latest betting analysis before the Gauff-Rybakina match at the WTA Toronto 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.

Gauff vs Rybakina: WTA Toronto Essential Details

The 2026 WTA Toronto match between Coco Gauff and Elena Rybakina is scheduled to start at 10:10am AEST.

  • Match: Coco Gauff vs Elena Rybakina
  • Date: Thursday 13 August 2026
  • Approx. Time: 10:10am AEST
  • Event: WTA Toronto, Canada Women's Singles 2026
  • Round: Semi-finals

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

Conclusion

Our Coco Gauff vs Elena Rybakina predictions are the result of 10,000 data-driven simulations of the game, all curated by our team of experienced data scientists and analysts. We use cutting-edge technology and machine learning to ensure our tennis tips are trustworthy and reliable, so that you can make informed decisions with confidence.

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, predictions 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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