Elina Svitolina vs. Jasmine Paolini Prediction, Odds, Picks for Australian Open 2025

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Written by Nick Slade

Our expert prediction for Saturday's Elina Svitolina vs Jasmine Paolini matchup.

Elina Svitolina vs Jasmine Paolini Tennis Prediction.
Our Elina Svitolina and Jasmine Paolini tennis prediction is based on thousands of simulations of the upcoming match.

Elina Svitolina will take on Jasmine Paolini in the third round of the Australian Open Women's Singles 2025 on Saturday.

Based on the latest simulations, Dimers' proven tennis model (see Dimers Pro for full access) predicts Jasmine Paolini as the most likely winner of the match.

"We have used the latest data to run 10,000 simulations of Saturday's Svitolina-Paolini match," said Dimers data analyst Greg Butyn.

"By incorporating recent updates and various other inputs, we estimate that Jasmine Paolini is more likely to win, while Elina Svitolina has a lower chance of victory."

For further insights into Saturday's match, including best bets and an expanded look at the predicted final score, visit our interactive Svitolina vs. Paolini predictions page.

READER EXCLUSIVE: Use code 20TENNIS at checkout now to get 20% off your first month of Dimers Pro! Hurry, this offer won't last long.

Svitolina vs. Paolini Updates and Essential Details

The Australian Open 2025 match between Elina Svitolina and Jasmine Paolini is scheduled to commence on Saturday at 3:00AM ET.

  • Who: Elina Svitolina vs. Jasmine Paolini
  • Date: Saturday, January 18, 2025
  • Approx. Time: 3:00AM ET/12:00AM PT
  • Tournament: Australian Open Women's Singles 2025
  • Round: Third round

All dates and times mentioned in this article are United States Eastern Time unless otherwise stated.

Dimers.com's comprehensive preview of Saturday's Svitolina vs. Paolini match includes our prediction, picks and the latest betting odds.

Before making any Elina Svitolina vs. Jasmine Paolini picks, be sure to check out the latest tennis predictions and betting advice from Dimers Pro.

Svitolina vs. Paolini Prediction: Who Will Win?

Using powerful machine learning and statistical analysis, we have simulated the outcome of Saturday's Svitolina-Paolini women's singles match 10,000 times as part of our tennis predictions coverage.

Our leading predictive model gives Paolini a 57% chance of defeating Svitolina in the Australian Open 2025.

Additionally, Paolini has a 56% chance of winning the first set, according to our model.

 

Elina Svitolina vs. Jasmine Paolini Odds

We have sourced the most up-to-date betting odds in America for this match, which are listed here:

Bet Type Svitolina Paolini
Moneyline +120 -152
First Set +110 -139

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

Svitolina vs. Paolini Picks

Our model's strongest edge in the Svitolina vs. Paolini match is on the first set.

Our expert predictions, aligned with the latest odds, reveal the best tennis picks for every match throughout the year.

Unlimited access to our complete suite of picks, including this one, is available via Dimers Pro.

Conclusion

We predict Jasmine Paolini, with a 57% win probability, will likely beat Elina Svitolina at the Australian Open 2025.

AI and automation have enhanced this article to quickly deliver accurate Svitolina vs. Paolini insights, with human oversight ensuring high editorial quality. Our predictions are sourced from the latest data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

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More on Tennis

Keep up with the latest tennis betting news, tennis best bets and parlay picks throughout the year. Plus, Dimers' ATP and WTA world rankings showcase our in-house approach to accurately ranking every men's and women's player in the world.

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Written by
Nick Slade
Chief Content Officer

Nick Slade, with nearly two decades of experience, is the Chief Content Officer at Cipher Sports Technology Group, overseeing content for Dimers. He specializes in soccer, NBA, and NHL betting, leveraging predictive analytics and machine learning to provide accurate betting insights.

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