ATP Tour
ATP World Ranking - 22 pts
⚙️ Grinder
Wears opponents down with relentless consistency and deep margins. Doesn't flash the most winners but rarely misses, extending rallies until the opponent cracks under pressure.
Strong against
Weak against
Age
30
Height
5'7" (170 cm)
Weight
68 kg (150 lbs)
Plays
Right-Handed
Career-High Ranking
#641 (2025-02-10)
15
Wins
27
Losses
35.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 3/2 | - | 3/2 | - |
| 2025 | 5/11 | 0/4 | 5/7 | - |
| 2024 | 3/4 | 2/2 | 1/2 | - |
| 2023 | 1/3 | 1/3 | - | - |
| 2022 | 3/6 | 2/5 | 1/1 | - |
| 2019 | 0/1 | - | 0/1 | - |
| Career | 15/27 | 5/14 | 10/13 | - |
Averages · Last 90 days (2 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Feb 16, 2026 | Chaca Challenger Metepec Open | 2nd Round Qualifying | Ben Jones | Hard | 16 36 | L |
| Feb 15, 2026 | Chaca Challenger Metepec Open | 1st Round Qualifying | Alex Kobelt | Hard | 75 62 | W |
| Jan 6, 2026 | BNC TENNIS OPEN | Round of 32 | Christian Langmo | Hard | 46 46 | L |
| Jan 5, 2026 | BNC TENNIS OPEN | 2nd Round Qualifying | Ethan Cook | Hard | 76 76 | W |
| Jan 4, 2026 | BNC TENNIS OPEN | 1st Round Qualifying | Jesse Delaney | Hard | 60 64 | W |
| Nov 16, 2025 | Sydney | 1st Round Qualifying | Emile Hudd | Hard | 46 64 67 | L |
| Nov 10, 2025 | Brisbane 3 | 2nd Round Qualifying | Tung-Lin Wu | Hard | 36 26 | L |
| Nov 9, 2025 | Brisbane 3 | 1st Round Qualifying | Zane Stevens | Hard | 62 62 | W |
| Nov 2, 2025 | Matsuyama | 1st Round Qualifying | Ryuki Matsuda | Hard | 46 64 46 | L |
| Jul 14, 2025 | Granby | 1st Round Qualifying | Patrick Maloney | Hard | 46 36 | L |
Kosuke Ogura is currently ranked #939 in the ATP singles rankings with 22 points.
Kosuke Ogura (ATP #939) has a career win-loss record of 15-27 (35.7% win rate) and has won 0 ATP titles.
Smashrs tracks Kosuke'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.