Player
30Clutches won
1v3Best clutch won
0.82Rating
61Maps
0.79K/D
65.1ADR
50%HS
71%KAST
69–102Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 14 | 0.80 | 69.7 |
| dust2 | 14 | 0.87 | 66.9 |
| anubis | 11 | 0.77 | 62.2 |
| inferno | 10 | 0.83 | 65.9 |
| mirage | 7 | 0.57 | 57.9 |
| cache | 5 | 0.79 | 60.0 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| Gatorian | inferno | 9–17 | 53.2 |
| Gatorian | ancient | 12–12 | 79.3 |
| Gatorian | dust2 | 16–18 | 51.9 |
| 9INE Academy | ancient | 12–13 | 83.6 |
| 9INE Academy | mirage | 6–4 | 48.3 |
| 9INE Academy | dust2 | 12–18 | 65.5 |
| gothboiclique | mirage | 9–15 | 65.7 |
| gothboiclique | dust2 | 11–18 | 60.4 |
| VP.Future 3 | inferno | 16–23 | 67.8 |
| VP.Future 3 | cache | 13–10 | 67.9 |
| VP.Future 3 | dust2 | 18–22 | 74.0 |
| Sökerorg | mirage | 7–13 | 69.6 |
| Sökerorg | anubis | 10–15 | 71.9 |
| EAC Extra | anubis | 14–11 | 61.2 |
| EAC Extra | ancient | 7–15 | 51.5 |
| Passion Academy | anubis | 8–11 | 47.9 |
| Passion Academy | ancient | 19–26 | 74.9 |
| Passion Academy | dust2 | 24–15 | 113.6 |
| CPH Wolves | ancient | 5–17 | 45.3 |
| CPH Wolves | cache | 9–7 | 64.2 |
Team history
| Team | Maps | Period |
|---|---|---|
 Bread Eaters | 3 | 2026-10 – 2026-10 |
 ex - Eternal Fire Academy | 23 | 2026-10 – 2026-10 |
 Eternal Fire Academy | 28 | 2026-07 – 2026-09 |
 Eternal Fire | 7 | 2026-08 – 2026-08 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 61 | 0.82 | 65.1 | 71% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| United21 Season 57 | 8 | 0.78 | 62.8 | 72% |
| European Pro League Regular Season 7 | 15 | 0.88 | 69.9 | 72% |
| United21 Season 56 | 6 | 0.75 | 62.2 | 68% |
| United21 Season 55 | 11 | 0.80 | 60.0 | 71% |
| United21 Season 54 | 3 | 0.84 | 61.7 | 61% |
| European Pro League Regular Season 6 | 7 | 0.83 | 71.6 | 72% |
| United21 Season 53 | 4 | 0.84 | 65.2 | 69% |
| Games of the Future: CS2 | 7 | 0.79 | 62.9 | 73% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
