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
38
Height
5'6" (168 cm)
Plays
Right-Handed
71
Wins
86
Losses
45.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2021 | 0/3 | - | 0/2 | 0/1 |
| 2020 | 0/2 | 0/1 | 0/1 | - |
| 2019 | 5/9 | - | 4/7 | 1/2 |
| 2018 | 9/14 | - | 9/13 | 0/1 |
| 2017 | 11/18 | 0/3 | 10/13 | 1/2 |
| 2016 | 26/20 | 2/6 | 23/13 | 1/1 |
| 2015 | 20/20 | 3/3 | 10/13 | 7/4 |
| Career | 71/86 | 5/13 | 56/62 | 10/11 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jun 28, 2021 | Wimbledon | Round of 128 | Aryna Sabalenka | Grass | 16 46 | L |
| Feb 13, 2021 | Phillip Island Trophy | Round of 32 | Jil Teichmann | Hard | 26 26 | L |
| Jan 31, 2021 | Gippsland Trophy | Round of 64 | Laura Siegemund | Hard | 57 46 | L |
| Sep 28, 2020 | Roland Garros | Round of 128 | Danielle Collins | Clay | 62 26 16 | L |
| Jan 20, 2020 | Australian Open | Round of 128 | Alize Cornet | Hard | 75 16 06 | L |
| Dec 16, 2019 | Limoges | Round of 32 | Ekaterina Alexandrova | Hard | 46 62 36 | L |
| Oct 14, 2019 | Luxembourg | Round of 16 | Margarita Gasparyan | Hard | 26 57 | L |
| Sep 23, 2019 | Tashkent | Round of 16 | Alison Van Uytvanck | Hard | 26 16 | L |
| Sep 23, 2019 | Tashkent | Round of 32 | Nigina Abduraimova | Hard | 61 75 | W |
| Aug 26, 2019 | Us Open | Round of 128 | Dayana Yastremska | Hard | 46 61 26 | L |
Monica Niculescu is currently ranked #9999 in the WTA singles rankings with 0 points.
Monica Niculescu (WTA #9999) has a career win-loss record of 71-86 (45.2% win rate) and has won 0 WTA titles.
Smashrs tracks Monica'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.
