ATP Tour
ATP World Ranking - 12 pts
🏃 Pusher
The ultimate frustrator - keeps the ball in play at all costs, forcing opponents to generate their own winners. Wins by attrition and opponents' impatience rather than outright power.
Strong against
Weak against
Age
26
Height
5'10" (178 cm)
Weight
70 kg (154 lbs)
Plays
Right-Handed, One-Handed BH
Career-High Ranking
#790 (2023-12-11)
6
Wins
19
Losses
24%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 4/2 | - | 4/2 | - |
| 2025 | 0/4 | 0/1 | 0/3 | - |
| 2024 | 1/7 | 0/1 | 1/6 | - |
| 2023 | 0/2 | - | 0/2 | - |
| 2022 | 1/3 | 0/1 | 1/2 | - |
| 2016 | 0/1 | - | 0/1 | - |
| Career | 6/19 | 0/3 | 6/16 | - |
Averages · Last 90 days (6 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Apr 10, 2026 | WUNING OPEN 1 | Quarterfinals | Li Tu | Hard | 67 46 | L |
| Apr 9, 2026 | WUNING OPEN 1 | Round of 16 | Yi Zhou | Hard | 64 64 | W |
| Apr 7, 2026 | WUNING OPEN 1 | Round of 32 | Zhao Zhao | Hard | 67 64 64 | W |
| Apr 6, 2026 | WUNING OPEN 1 | 2nd Round Qualifying | Hanyi Liu | Hard | 26 76 62 | W |
| Apr 5, 2026 | WUNING OPEN 1 | 1st Round Qualifying | Matisse Bobichon | Hard | 62 61 | W |
| Feb 1, 2026 | Brisbane Tennis International #1 | 1st Round Qualifying | Naoki Nakagawa | Hard | 06 36 | L |
| Nov 23, 2025 | Playford | 1st Round Qualifying | Pavle Marinkov | Hard | 67 46 | L |
| Oct 5, 2025 | Fairfield | 1st Round Qualifying | Kenta Miyoshi | Hard | 46 06 | L |
| Aug 10, 2025 | Todi | 1st Round Qualifying | Facundo Juarez | Clay | 36 26 | L |
| Jul 6, 2025 | Winnipeg | 1st Round Qualifying | Alfredo Perez | Hard | 16 46 | L |
Kody Pearson is currently ranked #1079 in the ATP singles rankings with 12 points.
Kody Pearson (ATP #1079) has a career win-loss record of 6-19 (24% win rate) and has won 0 ATP titles.
Smashrs tracks Kody'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.
