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Karen Khachanov vs. Kei Nishikori Prediction, Odds, Picks for ATP Hong Kong 2025

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Written by Ryan Leaver

Our expert prediction for Wednesday's Karen Khachanov vs Kei Nishikori matchup.

Karen Khachanov vs Kei Nishikori Tennis Prediction.
Our Karen Khachanov and Kei Nishikori tennis prediction is based on thousands of simulations of the upcoming match.

Karen Khachanov and Kei Nishikori will meet in the round of 16 of the ATP Hong Kong event on New Year's Day.

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

"We have simulated the outcome of Wednesday's Khachanov-Nishikori match 10,000 times," said Dimers data analyst Greg Butyn.

"With the latest updates and numerous other variables, we estimate Karen Khachanov's chance of winning at 52%, with Kei Nishikori at 48%."

For a closer look at Wednesday's match, including best bets and an expanded look at the predicted final score, visit our interactive Khachanov vs. Nishikori predictions page.

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Khachanov vs. Nishikori Updates and Essential Details

The ATP Hong Kong match between Karen Khachanov and Kei Nishikori is scheduled to commence on Wednesday at 6:40AM ET.

  • Who: Karen Khachanov vs. Kei Nishikori
  • Date: Wednesday, January 1, 2025
  • Approx. Time: 6:40AM ET/3:40AM PT
  • Tournament: ATP Hong Kong, Hong Kong Men's Singles 2025
  • Round: Round of 16

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

Dimers.com's comprehensive preview of Wednesday's Khachanov vs. Nishikori match includes our prediction, picks and the latest betting odds.

Before making any Karen Khachanov vs. Kei Nishikori picks, be sure to check out the latest tennis predictions and betting advice from Dimers Pro.

Khachanov vs. Nishikori Prediction: Who Will Win?

Using trusted machine learning and statistical analysis, we have simulated the result of Wednesday's Khachanov-Nishikori men's singles match 10,000 times as part of our tennis predictions coverage.

Our independent predictive model currently gives Khachanov a 52% chance of defeating Nishikori at the ATP Hong Kong tournament.

Additionally, Khachanov has a 51% chance of winning the first set, according to our model.

Pre-Match Probabilities
Last Updated: 7:11PM, Jan 1
Moneyline
1st Set
KarenKhachanov
Win %
52%
48%
Get the best bets with Dimers Pro
See Matchup
KeiNishikori
KarenKhachanov
Win %
52%
48%
See Matchup
KeiNishikori
Get the best bets with Dimers Pro

Karen Khachanov vs. Kei Nishikori Odds

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

Bet Type Khachanov Nishikori
Moneyline -152 +120
First Set -139 +110

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

Khachanov vs. Nishikori Picks

Our model's biggest edge in the Khachanov vs. Nishikori match is on the moneyline.

Our expert predictions, matched against 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.

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Conclusion

We predict Karen Khachanov, with a 52% win probability, will likely beat Kei Nishikori at the ATP Hong Kong tournament.

AI and automation have enhanced this article to quickly deliver accurate Khachanov vs. Nishikori 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.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

More on Tennis

Keep up with the latest tennis 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
Ryan Leaver
Senior Sports and Betting Editor

Ryan Leaver uses advanced statistical models and simulations to predict outcomes and provide predictions for the NBA, NFL, college football, college basketball, and soccer. He offers detailed game previews, best bets, props, and futures articles.

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