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Ajla Tomljanovic vs. Elena Rybakina prediction, odds, picks for WTA Ningbo 2025

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Written by Nick Slade

Get Tomljanovic vs Rybakina predictions for WTA Ningbo.

Ajla Tomljanovic vs Elena Rybakina Tennis Prediction.
Our Ajla Tomljanovic and Elena Rybakina tennis prediction is based on thousands of simulations of the upcoming match.

Ajla Tomljanovic will face Elena Rybakina in the quarterfinals at the WTA Ningbo event on Friday.

Based on the latest simulations, Dimers' proven tennis model predicts Elena Rybakina as the most likely winner of the match.

For further insights into Friday's match, including best bets and picks, visit our interactive Tomljanovic vs. Rybakina predictions page.

Tomljanovic vs. Rybakina prediction: Who will win and advance to the semifinals?

Using powerful machine learning and data analysis, we have simulated the outcome of Friday's Tomljanovic-Rybakina women's singles match 10,000 times as part of our tennis predictions coverage.

Our leading predictive model currently gives Rybakina an 82% chance of beating Tomljanovic at the WTA Ningbo tournament.

Additionally, Rybakina has a 77% chance of winning the first set. The simulations also show Rybakina (-5.5) has a 53% chance of covering the games spread, while the under 20.5 games has a 58% chance of hitting, according to our model.

 

Ajla Tomljanovic vs. Elena Rybakina odds

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

Bet Type Tomljanovic Rybakina
Moneyline +500 -714
First Set +333 -455
Game Spread -5.5 (-122) +5.5 (-108)
Total Games o20.5 (-105) u20.5 (-140)

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

Make the most of your sports betting experience by exploring our comprehensive list of US betting apps, and the latest sportsbooks in 2025, ensuring you never miss a top new-user deal.

Tomljanovic vs. Rybakina picks and best bets

Our model's strongest edge in today's Tomljanovic vs. Rybakina match is on the moneyline.

Our expert predictions, aligned with the current odds, reveal the best tennis picks and tennis best bets for every tournament throughout the year.

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

Tomljanovic vs. Rybakina updates and essential details

The WTA Ningbo match between Ajla Tomljanovic and Elena Rybakina is scheduled to commence on Friday at 6:00AM ET.

  • Who: Ajla Tomljanovic vs. Elena Rybakina
  • Date: Friday, October 17, 2025
  • Approx. Time: 6:00AM ET/3:00AM PT
  • Tournament: WTA Ningbo, China Women's Singles 2025
  • Round: Quarterfinals

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

Dimers' comprehensive preview of Friday's Tomljanovic vs. Rybakina match includes our prediction, picks and the latest betting odds.

Before making any Ajla Tomljanovic vs. Elena Rybakina picks, be sure to check out the latest tennis predictions and betting advice from Dimers Pro.

Key tennis betting guides and insights

Conclusion

We predict Elena Rybakina, with an 82% win probability, will likely beat Ajla Tomljanovic at the WTA Ningbo tournament.

AI and automation have enhanced this article to quickly deliver accurate Tomljanovic vs. Rybakina insights, with human oversight ensuring high editorial quality. Our predictions are based on 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 news 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.

Make the most of your sports betting experience by exploring our comprehensive list of US betting apps, and the latest sportsbooks in 2025, ensuring you never miss a top new-user deal.

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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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