Luca Van Assche vs. Rinky Hijikata prediction, odds, picks for ATP Paris Masters 2026

Using trusted machine learning and data, we have re-simulated the result of Friday's Van Assche-Hijikata men's singles match, forming part of our tennis predictions coverage.

Our leading predictive model currently gives Van Assche a 59% chance of defeating Hijikata at the ATP Paris Masters tournament. Additionally, Van Assche has a 57% chance of winning the first set. The simulations also show Hijikata (+2.5) has a 53% chance of covering the games spread, while the under 24.5 games has a 59% chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Rinky Hijikata +146, Luca Van Assche -166
• First Set: Van Assche -152, Hijikata +120

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

Model picks and best bet

After matching our predictions against the best available odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

• Moneyline: Hijikata @ +146 via DraftKings
• First Set: Hijikata @ -133 via DraftKings

According to our best tennis bets, the top play to make on this match is Rinky Hijikata to win the first set.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & first serve details

The ATP Paris Masters match between Luca Van Assche and Rinky Hijikata is scheduled to begin on Friday at 9:10 AM ET.

• Who: Luca Van Assche vs. Rinky Hijikata
• Date: Friday, November 6, 2026
• Approx. Time: 9:10 AM ET/6:10 AM PT
• Tournament: ATP Paris, France Men's Singles 2026
• Round: Quarterfinals

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

Conclusion

We predict Luca Van Assche, with a 59% win probability, will likely beat Rinky Hijikata at the ATP Paris Masters tournament.

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This article's predictions and probabilities are generated by Dimers' proprietary tennis prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.