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
39
Height
5'5" (164 cm)
Plays
Right-Handed
122
Wins
131
Losses
48.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2025 | 0/2 | 0/2 | - | - |
| 2024 | 10/14 | 6/7 | 4/6 | 0/1 |
| 2023 | 3/10 | 1/5 | 1/3 | 1/2 |
| 2022 | 2/4 | 2/3 | 0/1 | - |
| 2021 | 7/12 | 5/6 | 2/6 | - |
| 2020 | 4/3 | 3/2 | 1/1 | - |
| 2019 | 2/7 | 2/4 | 0/3 | - |
| 2018 | 8/10 | 7/8 | 1/2 | - |
| 2017 | 20/17 | 13/10 | 7/5 | 0/2 |
| 2016 | 20/24 | 6/7 | 13/15 | 1/2 |
| 2015 | 46/28 | 22/9 | 22/17 | 2/2 |
| Career | 122/131 | 67/63 | 51/59 | 4/9 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 6, 2025 | Rome | Round of 128 | Naomi Osaka | Clay | 26 36 | L |
| Apr 14, 2025 | Stuttgart | Round of 32 | Magdalena Frech | Clay | 57 64 67 | L |
| Oct 14, 2024 | Ningbo | Round of 32 | Katie Boulter | Hard | 36 26 | L |
| Aug 26, 2024 | Us Open | Round of 128 | Cristina Bucsa | Hard | 36 60 64 | W |
| Aug 26, 2024 | Us Open | Round of 64 | Caroline Dolehide | Hard | 75 75 | W |
| Aug 26, 2024 | Us Open | Round of 32 | Diana Shnaider | Hard | 26 26 | L |
| Jul 29, 2024 | Paris Olympics | Round of 64 | Qinwen Zheng | Clay | 06 06 | L |
| Jul 15, 2024 | Palermo | Round of 32 | Qinwen Zheng | Clay | 36 26 | L |
| Jul 1, 2024 | Wimbledon | Round of 128 | Linda Noskova | Grass | 67 16 | L |
| May 27, 2024 | Roland Garros | Round of 64 | Emma Navarro | Clay | 26 57 | L |
Sara Errani is currently ranked #9999 in the WTA singles rankings with 0 points.
Sara Errani (WTA #9999) has a career win-loss record of 122-131 (48.2% win rate) and has won 0 WTA titles.
Smashrs tracks Sara'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.
