Spieler
5Gewonnene Clutches
1v2Bester Clutch
0.97Rating
32Maps
0.98K/D
83.1ADR
58%HS
72%KAST
91–96Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| mirage | 11 | 0.95 | 82.9 |
| nuke | 10 | 1.02 | 86.7 |
| ancient | 7 | 1.25 | 92.5 |
| inferno | 2 | 0.76 | 65.3 |
| cache | 1 | 0.56 | 52.2 |
| anubis | 1 | 0.20 | 38.3 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Phantom Academy | mirage | 7–16 | 63.7 |
| Phantom Academy | nuke | 21–19 | 98.8 |
| Misa | cache | 9–16 | 52.2 |
| Misa | nuke | 14–14 | 84.8 |
| mellren | mirage | 16–21 | 96.7 |
| mellren | ancient | 9–14 | 62.2 |
| Young Tigeres | mirage | 9–13 | 61.3 |
| Young Tigeres | nuke | 11–16 | 56.3 |
| TEAM_COPH9K | mirage | 35–33 | 85.1 |
| TEAM_COPH9K | nuke | 18–11 | 127.4 |
| Arch | ancient | 20–18 | 100.5 |
| Arch | mirage | 22–15 | 80.5 |
| Al Ahli Esports | ancient | 26–18 | 92.5 |
| Al Ahli Esports | inferno | 15–16 | 76.2 |
| Al Ahli Esports | nuke | 20–13 | 99.7 |
| Gatorian | ancient | 19–9 | 105.8 |
| Gatorian | mirage | 25–23 | 87.6 |
| Gatorian | nuke | 24–21 | 84.9 |
| LPH Gaming | ancient | 10–15 | 82.7 |
| LPH Gaming | nuke | 21–23 | 87.8 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
 los kogutos | 2 | 2026-10 – 2026-10 |
 Permitta | 2 | 2026-09 – 2026-09 |
| Banda Chuya | 23 | 2026-03 – 2026-07 |
| Project 91 | 5 | 2026-05 – 2026-06 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 32 | 0.97 | 83.1 | 72% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT 2026 Challengers Europe Series 8 | 2 | 0.77 | 81.6 | 83% |
| European Pro League Series 9 | 2 | 0.76 | 67.0 | 64% |
| CCT 2026 Contenders Europe Series 7 | 6 | 0.87 | 80.6 | 73% |
| CCT 2026 Contenders Europe Series 6 | 10 | 1.15 | 89.4 | 71% |
| European Pro League Series 7 | 5 | 0.89 | 75.8 | 72% |
| CCT 2026 Contenders Europe Series 4 | 5 | 0.95 | 82.3 | 66% |
| CCT 2026 Contenders Europe Series 3 | 2 | 0.99 | 92.6 | 76% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
