WTA Tour
WTA World Ranking - 0 pts
🧱 The Wall
An impenetrable defender who retrieves everything and forces opponents into errors. Rarely beats themselves, with an elite return game that makes every service game a battle.
Strong against
Weak against
Age
34
Height
5'1" (155 cm)
Plays
Right-Handed
57
Wins
77
Losses
42.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2021 | 3/2 | 2/1 | - | 1/1 |
| 2020 | 0/2 | 0/1 | 0/1 | - |
| 2019 | 4/2 | 1/1 | 3/1 | - |
| 2018 | 4/15 | 0/1 | 4/11 | 0/3 |
| 2017 | 11/16 | 1/1 | 9/13 | 1/2 |
| 2016 | 15/17 | 0/4 | 14/11 | 1/2 |
| 2015 | 20/23 | 3/4 | 16/16 | 1/3 |
| Career | 57/77 | 7/13 | 46/53 | 4/11 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jun 7, 2021 | Nottingham | Round of 32 | Kristina Mladenovic | Grass | 26 75 26 | L |
| Jun 7, 2021 | Nottingham | Round of 64 | Viktoriya Tomova | Grass | 64 67 62 | W |
| Apr 5, 2021 | Charleston 1 | Round of 64 | Francesca Di Lorenzo | Clay | 62 62 | W |
| Apr 5, 2021 | Charleston 1 | Round of 32 | Whitney Osuigwe | Clay | 61 64 | W |
| Apr 5, 2021 | Charleston 1 | Round of 16 | Veronika Kudermetova | Clay | 06 36 | L |
| Aug 31, 2020 | Us Open | Round of 128 | Patricia Maria Tig | Hard | 16 06 | L |
| Feb 7, 2020 | Fed Cup QLS R1: ESP vs JPN | Round Robin | Carla Suarez Navarro | Clay | 16 36 | L |
| Oct 7, 2019 | Tianjin | Round of 32 | Harriet Dart | Hard | 36 61 63 | W |
| Sep 9, 2019 | Hiroshima | Round of 32 | Tatjana Maria | Hard | 64 64 | W |
| Sep 9, 2019 | Hiroshima | Round of 16 | Mihaela Buzarnescu | Hard | 67 57 | L |
Kurumi Nara is currently ranked #9999 in the WTA singles rankings with 0 points.
Kurumi Nara (WTA #9999) has a career win-loss record of 57-77 (42.5% win rate) and has won 0 WTA titles.
Smashrs tracks Kurumi's upcoming matches with AI-powered predictions across six independent models. Our confidence score reflects the degree of agreement between models - a higher score means stronger consensus. Check back before each match for the latest prediction.
