Spieler
7Gewonnene Clutches
1v3Bester Clutch
0.84Rating
22Maps
0.83K/D
73.5ADR
52%HS
70%KAST
36–43Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| nuke | 7 | 0.77 | 66.4 |
| inferno | 4 | 0.74 | 70.7 |
| ancient | 3 | 0.91 | 76.7 |
| dust2 | 3 | 1.41 | 99.7 |
| mirage | 2 | 0.48 | 64.2 |
| cache | 1 | 0.56 | 78.2 |
| overpass | 1 | 0.80 | 61.3 |
| anubis | 1 | 0.79 | 65.5 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| CPH Wolves | nuke | 7–13 | 48.2 |
| CPH Wolves | inferno | 11–18 | 71.0 |
| MAYBE | cache | 10–18 | 78.2 |
| MAYBE | mirage | 5–14 | 66.9 |
| MAYBE | nuke | 16–15 | 83.0 |
| Eternal Fire | inferno | 5–14 | 47.9 |
| A Great Chaos | mirage | 9–15 | 61.9 |
| Inner Circle AC | overpass | 12–15 | 61.3 |
| Inner Circle AC | nuke | 9–15 | 46.8 |
| Evo Novo | nuke | 12–10 | 82.8 |
| PURE | nuke | 15–16 | 81.8 |
| Honvéd | ancient | 11–14 | 69.4 |
| BASEMENT BOYS | ancient | 16–16 | 83.7 |
| Sashi Academy | inferno | 18–15 | 90.5 |
| TEAM AGRICOLA | nuke | 10–20 | 53.7 |
| TEAM AGRICOLA | ancient | 14–15 | 76.9 |
| SAW | dust2 | 18–12 | 104.9 |
| SAW | nuke | 11–15 | 64.9 |
| EKIPA | dust2 | 18–5 | 111.9 |
| GTZ Esports | inferno | 15–19 | 68.0 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
 SANCTUM | 2 | 2026-10 – 2026-10 |
| WIMOK | 4 | 2026-09 – 2026-09 |
| Nyxon eSport | 8 | 2026-05 – 2026-05 |
| Nebula | 5 | 2025-09 – 2025-09 |
| Strike Force | 3 | 2024-05 – 2024-05 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 14 | 0.78 | 70.5 | 68% |
| 2025 | 5 | 1.02 | 80.5 | 75% |
| 2024 | 3 | 0.82 | 75.3 | 72% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| United21 Season 57 | 2 | 0.62 | 60.5 | 70% |
| HyperX Retake Season 12 | 4 | 0.64 | 71.1 | 70% |
| Parken Challenger Championship #7 | 8 | 0.90 | 72.6 | 67% |
| Radio Popular Roman Imperium Cup II | 5 | 1.02 | 80.5 | 75% |
| Circuito Retake Season 8: Take #1 | 3 | 0.82 | 75.3 | 72% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
