Novak Djokovic vs. Alexander Zverev Prediction, Odds, Picks for Australian Open 2025

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Written by Damien Souness

Our expert prediction for Thursday's Novak Djokovic vs Alexander Zverev matchup.

Novak Djokovic vs Alexander Zverev Tennis Prediction.
Our Novak Djokovic and Alexander Zverev tennis prediction is based on thousands of simulations of the upcoming match.

Novak Djokovic will take on Alexander Zverev in the semifinals of the Australian Open Men's Singles 2025 on Thursday.

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

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

"Taking into account recent updates and various additional inputs, we forecast Novak Djokovic with a win probability of 59% and Alexander Zverev with 41%."

For further insights into Thursday's match, including best bets and an expanded look at the predicted final score, visit our interactive Djokovic vs. Zverev 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.

Djokovic vs. Zverev Updates and Essential Details

The Australian Open 2025 match between Novak Djokovic and Alexander Zverev is scheduled to start on Thursday at 10:30PM ET.

  • Who: Novak Djokovic vs. Alexander Zverev
  • Date: Thursday, January 23, 2025
  • Approx. Time: 10:30PM ET/7:30PM PT
  • Tournament: Australian Open Men's Singles 2025
  • Round: Semifinals

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

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

Before making any Novak Djokovic vs. Alexander Zverev picks, be sure to check out the latest tennis predictions and betting advice from Dimers Pro.

Djokovic vs. Zverev Prediction: Who Will Win?

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

Our leading predictive model gives Djokovic a 59% chance of defeating Zverev in the Australian Open 2025.

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

 

Novak Djokovic vs. Alexander Zverev Odds

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

Bet Type Djokovic Zverev
Moneyline -175 +137
First Set -152 +120

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

Djokovic vs. Zverev Picks

Our model's biggest edge in today's Djokovic vs. Zverev 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 full suite of picks, including this one, is available via Dimers Pro.

Conclusion

We predict Novak Djokovic, with a 59% win probability, will likely beat Alexander Zverev at the Australian Open 2025.

AI and automation have enhanced this article to quickly deliver accurate Djokovic vs. Zverev 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

Stay up-to-date 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
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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