Taylor Fritz vs. Rinky Hijikata prediction, odds, picks for ATP Swiss Indoors 2026
Get Fritz vs Hijikata predictions for ATP Swiss Indoors.

Taylor Fritz will square off with Rinky Hijikata in the round of 32 at the ATP Basel event on Tuesday.
Dimers' proven tennis model projects Taylor Fritz as the most likely winner in this Fritz vs. Hijikata prediction.
This article offers further insights into Tuesday's match, including best bets and picks.
Fritz vs. Hijikata prediction and odds
Our leading predictive model gives Fritz an 87% chance of beating Hijikata at the ATP Swiss Indoors tournament.
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 +700, Taylor Fritz -1075
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 @ +700 via DraftKings
- First Set: Hijikata @ -135 via DraftKings
According to our tennis best 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 Swiss Indoors match between Taylor Fritz and Rinky Hijikata is scheduled to start on Tuesday at 7:00 AM ET.
- Who: Taylor Fritz vs. Rinky Hijikata
- Date: Tuesday, October 27, 2026
- Approx. Time: 7:00 AM ET/4:00 AM PT
- Tournament: ATP Basel, Switzerland Men's Singles 2026
- Round: Round of 32
All dates and times in this article are United States Eastern Time unless otherwise stated.
Conclusion
We predict Taylor Fritz, with an 87% win probability, will likely beat Rinky Hijikata at the ATP Swiss Indoors 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.



