ATP Tour
ATP World Ranking - 18 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
27
Height
6'3" (191 cm)
Weight
85 kg (187 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#355 (2023-06-19)
24
Wins
32
Losses
42.9%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2024 | 0/1 | - | 0/1 | - |
| 2023 | 17/19 | 8/10 | 9/9 | - |
| 2022 | 4/4 | 0/1 | 4/3 | - |
| 2018 | 3/5 | 3/4 | 0/1 | - |
| 2017 | 0/2 | 0/1 | 0/1 | - |
| 2016 | 0/1 | 0/1 | - | - |
| Career | 24/32 | 11/17 | 13/15 | - |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jan 7, 2024 | Oeiras 2 | 1st Round Qualifying | Samuel Vincent Ruggeri | Hard | 36 26 | L |
| Nov 29, 2023 | Maia | Round of 16 | Andrea Vavassori | Clay | 26 36 | L |
| Nov 28, 2023 | Maia | Round of 32 | Sebastian Fanselow | Clay | 36 63 64 | W |
| Nov 27, 2023 | Maia | 2nd Round Qualifying | Aleksandr Braynin | Clay | 57 61 63 | W |
| Nov 26, 2023 | Maia | 1st Round Qualifying | Tiago Pereira | Clay | 46 63 61 | W |
| Nov 15, 2023 | Danderyd | Round of 32 | Denis Yevseyev | Hard | 26 36 | L |
| Oct 16, 2023 | Stockholm | Round of 32 | Miomir Kecmanovic | Hard | 46 26 | L |
| Sep 4, 2023 | Cassis | 2nd Round Qualifying | Ramkumar Ramanathan | Hard | 36 06 | L |
| Sep 3, 2023 | Cassis | 1st Round Qualifying | Hugo Cardinaud | Hard | 63 61 | W |
| Aug 27, 2023 | Como | 1st Round Qualifying | Santiago Rodriguez Taverna | Clay | 57 67 | L |
Karl Friberg is currently ranked #987 in the ATP singles rankings with 18 points.
Karl Friberg (ATP #987) has a career win-loss record of 24-32 (42.9% win rate) and has won 0 ATP titles.
Smashrs tracks Karl'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.
