Reilly Opelka vs. Rinky Hijikata Prediction, Odds, Picks for ATP Madrid Open 2025

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Written by Damien Souness

Our expert prediction for Thursday's Reilly Opelka vs Rinky Hijikata matchup.

Reilly Opelka vs Rinky Hijikata Tennis Prediction.
Our Reilly Opelka and Rinky Hijikata tennis prediction is based on thousands of simulations of the upcoming match.

Reilly Opelka will take on Rinky Hijikata in the round of 128 at the ATP Madrid event on Thursday.

Based on the latest simulation results, Dimers' advanced tennis model (see Dimers Pro for full access) predicts Reilly Opelka as the most likely winner of the match.

"Using the latest data, we simulated Thursday's Opelka-Hijikata match 10,000 times," said Dimers data analyst Greg Butyn.

"Taking into account recent updates and various additional inputs, we forecast Reilly Opelka with a win probability of 56% and Rinky Hijikata with 44%."

For a closer look at Thursday's match, including best bets and picks, visit our interactive Opelka vs. Hijikata predictions page.

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Opelka vs. Hijikata Prediction: Who Will Win and Advance to the Second Round?

Using trusted machine learning and data analysis, we have simulated the outcome of Thursday's Opelka-Hijikata men's singles match 10,000 times as part of our tennis predictions coverage.

Our independent predictive model gives Opelka a 56% chance of beating Hijikata at the ATP Madrid Open tournament.

Additionally, Opelka has a 54% chance of winning the first set, according to our model.

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For more insights into the growing popularity of betting on the sport, check out our comprehensive analysis of tennis' rise in the U.S. sports betting market.

Reilly Opelka vs. Rinky Hijikata Odds

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

Bet Type Opelka Hijikata
Moneyline -227 +175
First Set -189 +150

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

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Opelka vs. Hijikata Picks and Best Bets

Our model's biggest edge in today's Opelka vs. Hijikata match is on the moneyline.

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

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

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Opelka vs. Hijikata Updates and Essential Details

The ATP Madrid Open match between Reilly Opelka and Rinky Hijikata is scheduled to start on Thursday at 2:20PM ET.

  • Who: Reilly Opelka vs. Rinky Hijikata
  • Date: Thursday, April 24, 2025
  • Approx. Time: 2:20PM ET/11:20AM PT
  • Tournament: ATP Madrid, Spain Men's Singles 2025
  • Round: Round of 128

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

Dimers.com's comprehensive preview of Thursday's Opelka vs. Hijikata match includes our prediction, picks and the latest betting odds.

Before making any Reilly Opelka vs. Rinky Hijikata 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 Reilly Opelka, with a 56% win probability, will likely beat Rinky Hijikata at the ATP Madrid Open tournament.

AI and automation have enhanced this article to quickly deliver accurate Opelka vs. Hijikata insights, with human oversight ensuring high editorial quality. Our predictions are based on up-to-date 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

Stay informed 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.

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Written by
Damien Souness
Chief Innovation Officer

Damien Souness leverages over 15 years of experience to create engaging content focused on sports, online gaming and wagering. As Chief Innovation Officer at Cipher Sports Technology Group, the parent company of Dimers, he offers strategic insights and innovative solutions to enhance the player experience.

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