Terence Atmane vs. Rinky Hijikata prediction, odds, picks for ATP Almaty Open 2026

Using powerful machine learning and data, we have re-simulated the outcome of Tuesday's Atmane-Hijikata men's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Atmane a 51% chance of defeating Hijikata at the ATP Almaty Open tournament. Additionally, Atmane has a 51% chance of winning the first set, while the under 24.5 games has a 58% chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Rinky Hijikata -111, Terence Atmane +107
• First Set: Atmane -111, Hijikata -111

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

Model picks and best bet

After matching our probabilities against the best current 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: Atmane @ +107 via DraftKings
• First Set: Hijikata @ -130 via DraftKings

According to our tennis best bets, the top play to make on this match is Terence Atmane to win.

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

Game info & first serve details

The ATP Almaty Open match between Terence Atmane and Rinky Hijikata is scheduled to begin on Tuesday at 2:30 AM ET.

• Who: Terence Atmane vs. Rinky Hijikata
• Date: Tuesday, October 20, 2026
• Approx. Time: 2:30 AM ET/11:30PM PT
• Tournament: ATP Almaty, Kazakhstan Men's Singles 2026
• Round: Round of 32

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

Conclusion

We predict Terence Atmane, with a 51% win probability, will likely beat Rinky Hijikata at the ATP Almaty Open tournament.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

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.