WTA Tour
WTA World Ranking - 0 pts
🛡️ The Spoiler
A defensive specialist who retrieves better than a Grinder but without the elite return game of a Counterpuncher. Neutralises power hitters through court coverage and consistency - and uniquely, holds a winning record against The Complete Package.
Strong against
Weak against
Age
30
Height
5'8" (173 cm)
Plays
Right-Handed
75
Wins
94
Losses
44.4%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2023 | 7/7 | 1/2 | 6/3 | 0/2 |
| 2022 | 5/14 | 2/5 | 3/8 | 0/1 |
| 2021 | 16/17 | 2/3 | 14/12 | 0/2 |
| 2020 | 2/9 | 0/4 | 2/5 | - |
| 2019 | 24/19 | 6/6 | 16/10 | 2/3 |
| 2018 | 12/12 | 1/3 | 9/7 | 2/2 |
| 2017 | 2/3 | 0/1 | 2/2 | - |
| 2016 | 4/7 | 1/4 | 3/3 | - |
| 2015 | 3/6 | 2/4 | 1/2 | - |
| Career | 75/94 | 15/32 | 56/52 | 4/10 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Aug 28, 2023 | Us Open | Round of 128 | Iga Swiatek | Hard | 06 16 | L |
| Jul 3, 2023 | Wimbledon | Round of 128 | Sloane Stephens | Grass | 26 36 | L |
| Jun 12, 2023 | s Hertogenbosch | Round of 32 | Ashlyn Krueger | Grass | 16 26 | L |
| May 29, 2023 | Roland Garros | Round of 64 | Xin Yu Wang | Clay | 67 26 | L |
| May 29, 2023 | Roland Garros | Round of 128 | Fiona Ferro | Clay | 62 60 | W |
| May 22, 2023 | Rabat | Round of 32 | Lucia Bronzetti | Clay | 46 67 | L |
| Mar 6, 2023 | Indian Wells | Round of 16 | Coco Gauff | Hard | 36 61 46 | L |
| Mar 6, 2023 | Indian Wells | Round of 32 | Jil Teichmann | Hard | 36 63 61 | W |
| Mar 6, 2023 | Indian Wells | Round of 128 | Marta Kostyuk | Hard | 75 57 75 | W |
| Feb 20, 2023 | Merida | Round of 32 | Nadia Podoroska | Hard | 63 75 | W |
Rebecca Peterson is currently ranked #9999 in the WTA singles rankings with 0 points.
Rebecca Peterson (WTA #9999) has a career win-loss record of 75-94 (44.4% win rate) and has won 0 WTA titles.
Smashrs tracks Rebecca'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.
