Player
39Clutches won
1v3Best clutch won
0.96Rating
103Maps
0.97K/D
73.3ADR
57%HS
72%KAST
206–216Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 31 | 1.09 | 75.1 |
| nuke | 18 | 1.01 | 74.2 |
| mirage | 17 | 0.88 | 69.7 |
| inferno | 13 | 0.82 | 75.2 |
| anubis | 12 | 0.97 | 77.7 |
| cache | 11 | 0.92 | 67.7 |
| dust2 | 1 | 0.40 | 53.4 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| CPH Wolves | nuke | 16–10 | 77.2 |
| CPH Wolves | anubis | 8–12 | 61.3 |
| CPH Wolves | ancient | 7–14 | 36.2 |
| Sökerorg | anubis | 16–15 | 83.3 |
| Sökerorg | mirage | 11–14 | 65.5 |
| Sökerorg | ancient | 15–11 | 67.6 |
| VP.Future 3 | anubis | 11–5 | 88.4 |
| VP.Future 3 | mirage | 21–23 | 75.1 |
| VP.Future 3 | nuke | 13–9 | 87.3 |
| ROUNDS | mirage | 15–11 | 86.3 |
| ROUNDS | cache | 17–15 | 73.1 |
| ROUNDS | ancient | 21–17 | 75.6 |
| CTRL | mirage | 9–12 | 62.8 |
| CTRL | ancient | 17–14 | 68.8 |
| ex - Eternal Fire Academy | anubis | 6–15 | 34.6 |
| ex - Eternal Fire Academy | ancient | 15–16 | 78.8 |
| THE UNIT | inferno | 12–15 | 81.9 |
| THE UNIT | ancient | 19–16 | 69.5 |
| ThechampionGG | inferno | 14–16 | 77.8 |
| ThechampionGG | ancient | 13–13 | 60.0 |
Team history
| Team | Maps | Period |
|---|---|---|
 EAC Extra | 74 | 2026-07 – 2026-10 |
| EAC Rising | 20 | 2026-07 – 2026-07 |
| Olgod efterskole | 9 | 2026-04 – 2026-04 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 103 | 0.96 | 73.3 | 72% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| European Pro League Regular Season 7 | 18 | 0.97 | 70.4 | 74% |
| United21 Season 56 | 10 | 0.90 | 70.8 | 75% |
| United21 Season 55 | 12 | 1.03 | 81.1 | 71% |
| United21 Season 54 | 20 | 1.06 | 74.9 | 73% |
| European Pro League Regular Season 6 | 4 | 0.87 | 67.5 | 69% |
| United21 Season 53 | 10 | 0.86 | 68.7 | 66% |
| United21 Season 52 | 20 | 0.94 | 71.7 | 71% |
| Parken Challenger Championship #4 | 9 | 0.89 | 79.2 | 71% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
