ATP Tour
ATP World Ranking - 285 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
20
Height
6'2" (188 cm)
Weight
81 kg (179 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#231 (2026-01-05)
61
Wins
56
Losses
52.1%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 9/6 | 4/1 | 5/5 | - |
| 2025 | 28/28 | 17/19 | 11/9 | - |
| 2024 | 24/22 | 21/19 | 3/3 | - |
| Career | 61/56 | 42/39 | 19/17 | - |
Averages · Last 90 days (13 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Mar 24, 2026 | Memorijal Mile Moralic - Split Open Jolly Autoline | Round of 32 | Christian Langmo | Clay | 36 75 62 | W |
| Mar 21, 2026 | Zadar Open | Semifinals | Stefano Travaglia | Clay | 67 36 | L |
| Mar 20, 2026 | Zadar Open | Quarterfinals | Duje Ajdukovic | Clay | 63 63 | W |
| Mar 18, 2026 | Zadar Open | Round of 16 | Martin Krumich | Clay | 36 64 76 | W |
| Mar 17, 2026 | Zadar Open | Round of 32 | Laurent Lokoli | Clay | 26 62 76 | W |
| Feb 28, 2026 | Challenger Città di Lugano | Semifinals | Joel Schwaerzler | Hard | 67 46 | L |
| Feb 27, 2026 | Challenger Città di Lugano | Quarterfinals | Nicolai Budkov Kjaer | Hard | 76 75 | W |
| Feb 25, 2026 | Challenger Città di Lugano | Round of 16 | Timofey Skatov | Hard | 63 46 64 | W |
| Feb 24, 2026 | Challenger Città di Lugano | Round of 32 | Jonas Forejtek | Hard | 62 64 | W |
| Feb 17, 2026 | Play In Challenger | Round of 32 | Moise Kouame | Hard | 46 26 | L |
Matej Dodig is currently ranked #206 in the ATP singles rankings with 285 points.
Matej Dodig (ATP #206) has a career win-loss record of 61-56 (52.1% win rate) and has won 0 ATP titles.
Smashrs tracks Matej'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.
