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Sofia Kenin vs Taylor Townsend Prediction - Wimbledon 2025

Sofia Kenin will face Taylor Townsend in the first round of the Wimbledon Women's Singles 2025 on Wednesday.

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

Who Will Win?

Utilising advanced machine learning and data, Stats Insider has simulated the result of Wednesday's Kenin-Townsend women's singles match 10,000 times.

Our proven predictive analytics model gives Kenin a 65% chance of beating Townsend in the Wimbledon Women's Singles 2025.

Kenin vs Townsend: Odds

The latest betting odds in Australia for Wednesday's Wimbledon 2025 match between Kenin and Townsend are shown below:

  • Head to Head: Kenin $1.44, Townsend $2.75
  • First Set: Kenin $1.57, Townsend $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 Kenin at $1.44 and Townsend at $2.75.

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

Kenin vs Townsend: Best Bets

  • Head to Head: Townsend at $2.75 with TAB
  • First Set: Townsend at $1.90 with TAB (52% probability)

These Sofia Kenin vs Taylor Townsend predictions are based on detailed modelling and betting expertise to give you the best possible advice 24/7/365.

Even though our predictive analytics model indicates that Kenin is more likely to win the match, taking Townsend 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.

Taking advantage of the edges published here at Stats Insider is one of the keys to achieving long-term profitability.

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

Kenin vs Townsend: Prediction

Stats Insider provides full betting coverage of the Sofia Kenin vs Taylor Townsend match at the Wimbledon 2025 tournament, including data-driven predictions and live win probabilitiestips.

Remember, our model updates regularly, so bookmark this article for the latest betting analysis before the Kenin-Townsend match in the Wimbledon Women's Singles 2025.

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

Kenin vs Townsend: Wimbledon 2025 Essential Details

The Wimbledon 2025 match between Sofia Kenin and Taylor Townsend is scheduled to commence at 3:15am AEST.

  • Match: Sofia Kenin vs Taylor Townsend
  • Date: Wednesday 2 July 2025
  • Approx. Time: 3:15am AEST
  • Event: Wimbledon Women's Singles 2025
  • Round: First round

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

Conclusion

Our Sofia Kenin vs Taylor Townsend 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 predictions for betting purposes, it's vital 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 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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