ATP Tour
ATP World Ranking - 283 pts
🎾 All-Court
Comfortable at every position on the court - baseline, net, or in transition. Adapts tactics match by match and point by point, making them unpredictable and difficult to game-plan against.
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)
62
Wins
58
Losses
51.7%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 10/8 | 5/3 | 5/5 | - |
| 2025 | 28/28 | 17/19 | 11/9 | - |
| 2024 | 24/22 | 21/19 | 3/3 | - |
| Career | 62/58 | 43/41 | 19/17 | - |
Averages · Last 90 days (8 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jun 4, 2026 | Neckarcup 2.0 | Round of 16 | Guy Den Ouden | Clay | 36 76 06 | L |
| Jun 1, 2026 | Neckarcup 2.0 | Round of 32 | Joel Schwaerzler | Clay | 64 26 64 | W |
| May 24, 2026 | Roland Garros | 1st Round Qualifying | Yi Zhou | Clay | 16 63 75 | W |
| May 24, 2026 | Roland Garros | 2nd Round Qualifying | Hugo Dellien | Clay | 16 46 | L |
| May 7, 2026 | Zagreb Open | Round of 32 | August Holmgren | Clay | 67 63 36 | L |
| Mar 18, 2026 | Zadar Open | Semifinals | Stefano Travaglia | Clay | 67 36 | L |
| Mar 15, 2026 | Zadar Open | Quarterfinals | Duje Ajdukovic | Clay | 63 63 | W |
| Mar 12, 2026 | Zadar Open | Round of 16 | Martin Krumich | Clay | 36 64 76 | W |
| Mar 12, 2026 | Memorijal Mile Moralic - Split Open Jolly Autoline | Round of 32 | Christian Langmo | Clay | 36 75 62 | W |
| Mar 9, 2026 | Zadar Open | Round of 32 | Laurent Lokoli | Clay | 26 62 76 | W |
Neckarcup 2.0
Matej Dodig is currently ranked #201 in the ATP singles rankings with 283 points.
Matej Dodig (ATP #201) has a career win-loss record of 62-58 (51.7% 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.
