ATP Tour
ATP World Ranking - 4 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
29
Height
6'1" (185 cm)
Weight
82 kg (181 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#437 (2024-10-28)
25
Wins
48
Losses
34.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2025 | 4/10 | 1/4 | 2/5 | 1/1 |
| 2024 | 4/16 | 1/3 | 3/13 | - |
| 2023 | 11/11 | 1/2 | 10/9 | - |
| 2022 | 6/8 | 4/4 | 2/4 | - |
| 2021 | 0/1 | - | 0/1 | - |
| 2020 | 0/1 | - | 0/1 | - |
| 2018 | 0/1 | - | 0/1 | - |
| Career | 25/48 | 7/13 | 17/34 | 1/1 |
No serve and return data available yet.
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jul 7, 2025 | Newport | 2nd Round Qualifying | Alafia Ayeni | Grass | 36 57 | L |
| Jul 6, 2025 | Newport | 1st Round Qualifying | Pranav Kumar | Grass | 63 64 | W |
| Jun 1, 2025 | Tyler | 1st Round Qualifying | Adria Soriano Barrera | Hard | 67 76 46 | L |
| May 25, 2025 | Little Rock | 1st Round Qualifying | Stefan Kozlov | Hard | 67 62 26 | L |
| May 12, 2025 | Bogota | Round of 32 | Roberto Cid Subervi | Clay | 26 67 | L |
| Apr 20, 2025 | Savannah | 1st Round Qualifying | Patrick Maloney | Clay | 26 16 | L |
| Apr 15, 2025 | San Luis Potosi | Round of 32 | Rodrigo Pacheco Mendez | Clay | 26 26 | L |
| Apr 7, 2025 | Mexico City | 2nd Round Qualifying | Pedro Sakamoto | Clay | 46 36 | L |
| Apr 6, 2025 | Mexico City | 1st Round Qualifying | Max Wiskandt | Clay | 46 61 61 | W |
| Mar 25, 2025 | Morelia | Round of 32 | Hugo Grenier | Hard | 46 46 | L |
Kiranpal Pannu is currently ranked #1452 in the ATP singles rankings with 4 points.
Kiranpal Pannu (ATP #1452) has a career win-loss record of 25-48 (34.2% win rate) and has won 0 ATP titles.
Smashrs tracks Kiranpal'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.
