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Ann Li vs Elisabetta Cocciaretto Prediction - WTA Qatar Open 2026

Ann Li will sqaure off with Elisabetta Cocciaretto in the round of 16 at the 2026 WTA Qatar Open tournament on Wednesday.

This article features Stats Insider's prediction and tips for the Li vs Cocciaretto match, along with the latest betting odds in Australia.

Who Will Win?

Using trusted machine learning and data, Stats Insider has simulated the result of Wednesday's Li-Cocciaretto women's singles match 10,000 times.

Our independent predictive analytics model gives Li a 54% chance of winning against Cocciaretto at the WTA Qatar Open tournament.

Li vs Cocciaretto: Odds

The current betting odds in Australia for Wednesday's WTA Qatar Open match between Li and Cocciaretto are listed here:

  • Head to Head: Li $1.72, Cocciaretto $2.10
  • First Set: Li $1.72, Cocciaretto $2.10

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

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

TAB currently has odds for Li to win the first set at $1.72 and odds for Cocciaretto to win the first set at $2.10.

Li vs Cocciaretto: Betting Tips

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

Stats Insider's Ann Li vs Elisabetta Cocciaretto predictions are based on detailed modelling and wagering intelligence to help you place more informed bets with your chosen online bookie.

Although our predictive analytics model suggests that Li is more likely to win the match, taking Cocciaretto 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.

Using the edges published on Stats Insider is pivotal to achieving long-term profitability.

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

Li vs Cocciaretto: Prediction

Stats Insider provides full betting coverage of the Ann Li vs Elisabetta Cocciaretto match at the WTA Qatar Open tournament, including data-driven predictions and computer tips.

Our model updates frequently, so keep checking this page for the latest betting tips before the Li-Cocciaretto match at the WTA Qatar Open tournament.

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

Li vs Cocciaretto: WTA Qatar Open Essential Details

The 2026 WTA Qatar Open match between Ann Li and Elisabetta Cocciaretto is scheduled to commence at 9:30pm AEDT.

  • Match: Ann Li vs Elisabetta Cocciaretto
  • Date: Wednesday 11 February 2026
  • Approx. Time: 9:30pm AEDT
  • Event: WTA Doha, Qatar Women's Singles 2026
  • Round: Round of 16

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

Conclusion

Our Ann Li vs Elisabetta Cocciaretto predictions have been made based on 10,000 data-driven simulations of the game, carefully 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, giving you the confidence to make informed decisions.

If you decide to use our 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.

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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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