WTA Tour
WTA World Ranking - 0 pts
⚙️ Grinder
Wears opponents down with relentless consistency and deep margins. Doesn't flash the most winners but rarely misses, extending rallies until the opponent cracks under pressure.
Strong against
Weak against
Age
37
Height
5'9" (174 cm)
Plays
Right-Handed
91
Wins
102
Losses
47.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2020 | 1/3 | - | 1/3 | - |
| 2019 | 4/14 | 2/5 | 2/8 | 0/1 |
| 2018 | 16/19 | 8/6 | 7/11 | 1/2 |
| 2017 | 18/21 | 8/9 | 10/11 | 0/1 |
| 2016 | 29/24 | 10/8 | 19/15 | 0/1 |
| 2015 | 23/21 | 8/3 | 15/15 | 0/3 |
| Career | 91/102 | 36/31 | 54/63 | 1/8 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Feb 8, 2020 | Fed Cup G1 PPO: POL vs SWE | Round Robin | Magda Linette | Hard | 57 46 | L |
| Feb 7, 2020 | Fed Cup G1 RR: SRB vs SWE | Round Robin | Nina Stojanovic | Hard | 61 60 | W |
| Feb 5, 2020 | Fed Cup G1 RR: SWE vs LUX | Round Robin | Eleonora Molinaro | Hard | 60 36 16 | L |
| Jan 20, 2020 | Australian Open | Round of 128 | Paula Badosa | Hard | 16 06 | L |
| Aug 26, 2019 | Us Open | Round of 128 | Lauren Davis | Hard | 57 26 | L |
| Jun 10, 2019 | S-Hertogenbosch | Round of 32 | Kiki Bertens | Grass | 36 16 | L |
| May 27, 2019 | Roland Garros | Round of 128 | Magdalena Rybarikova | Clay | 63 64 | W |
| May 27, 2019 | Roland Garros | Round of 64 | Garbine Muguruza | Clay | 46 16 | L |
| May 20, 2019 | Nurnberg | Round of 32 | Svetlana Kuznetsova | Clay | 75 64 | W |
| May 20, 2019 | Nurnberg | Round of 16 | Katerina Siniakova | Clay | 64 06 36 | L |
Johanna Larsson is currently ranked #9999 in the WTA singles rankings with 0 points.
Johanna Larsson (WTA #9999) has a career win-loss record of 91-102 (47.2% win rate) and has won 0 WTA titles.
Smashrs tracks Johanna'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.
