ATP Tour
ATP World Ranking - 44 pts
⚔️ The Gladiator
A fierce competitor who thrives in physical battles and tight sets. Combines solid serve and return with an unyielding fighting spirit that makes every match a war of attrition.
Strong against
Weak against
Age
23
Weight
75 kg (165 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#184 (2023-06-12)
52
Wins
74
Losses
41.3%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 3/2 | 3/2 | - | - |
| 2025 | 4/5 | 4/5 | - | - |
| 2024 | 3/10 | 3/8 | 0/2 | - |
| 2023 | 16/26 | 15/20 | 1/5 | 0/1 |
| 2022 | 18/19 | 11/11 | 7/7 | - |
| 2021 | 8/7 | 6/6 | 2/1 | - |
| 2020 | 0/5 | 0/2 | 0/3 | - |
| Career | 52/74 | 42/54 | 10/18 | 0/1 |
Averages · Last 90 days (5 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Mar 9, 2026 | Rwanda Challenger 2 | 2nd Round Qualifying | Alexander Donski | Clay | 36 67 | L |
| Mar 8, 2026 | Rwanda Challenger 2 | 1st Round Qualifying | Allan Gatoto | Clay | 63 75 | W |
| Mar 3, 2026 | Rwanda Challenger | Round of 32 | Michiel De Krom | Clay | 75 36 36 | L |
| Mar 2, 2026 | Rwanda Challenger | 2nd Round Qualifying | Eero Vasa | Clay | 64 62 | W |
| Mar 1, 2026 | Rwanda Challenger | 1st Round Qualifying | Nitin Kumar Sinha | Clay | 61 62 | W |
| Sep 17, 2025 | Targu Mures 2 | Round of 32 | Daniel Rincon | Clay | 06 26 | L |
| Sep 8, 2025 | Targu Mures | Round of 32 | Mili Poljicak | Clay | 64 36 46 | L |
| Jul 7, 2025 | Iasi | 2nd Round Qualifying | Oriol Roca Batalla | Clay | 57 64 16 | L |
| Jul 6, 2025 | Iasi | 1st Round Qualifying | Zdenek Kolar | Clay | 75 64 | W |
| Mar 5, 2025 | Kigali 2 | Round of 16 | Guy Den Ouden | Clay | 57 16 | L |
Nicholas David Ionel is currently ranked #720 in the ATP singles rankings with 44 points.
Nicholas David Ionel (ATP #720) has a career win-loss record of 52-74 (41.3% win rate) and has won 0 ATP titles.
Smashrs tracks Nicholas'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.
