Spieler
19Gewonnene Clutches
1v2Bester Clutch
1.01Rating
52Maps
1.02K/D
74.8ADR
63%HS
71%KAST
113–114Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| mirage | 13 | 1.06 | 74.3 |
| ancient | 12 | 1.03 | 77.5 |
| dust2 | 10 | 1.16 | 80.3 |
| nuke | 6 | 1.06 | 74.4 |
| cache | 4 | 0.83 | 71.7 |
| anubis | 3 | 0.85 | 71.1 |
| overpass | 3 | 0.89 | 64.6 |
| inferno | 1 | 0.69 | 58.7 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Leo Team | dust2 | 11–10 | 59.0 |
| Leo Team | cache | 12–14 | 55.5 |
| Leo Team | mirage | 17–14 | 77.0 |
| HYPERSPIRIT | mirage | 16–12 | 89.8 |
| HYPERSPIRIT | ancient | 21–7 | 110.8 |
| HYPERSPIRIT | cache | 7–13 | 56.8 |
| Revise | ancient | 16–13 | 89.3 |
| Nemiga Gaming | cache | 14–15 | 91.2 |
| Nemiga Gaming | mirage | 16–15 | 77.3 |
| Bushido Wildcats | mirage | 17–15 | 72.6 |
| Bushido Wildcats | cache | 12–12 | 80.4 |
| Team Spirit Academy | mirage | 16–19 | 62.1 |
| Team Spirit Academy | nuke | 11–14 | 61.0 |
| Permitta | anubis | 7–13 | 47.9 |
| Permitta | ancient | 14–18 | 71.0 |
| Natus Vincere Junior | dust2 | 10–18 | 43.7 |
| Natus Vincere Junior | mirage | 25–33 | 59.7 |
| Natus Vincere Junior | ancient | 17–13 | 91.9 |
| CYBERSHOKE Prospects | nuke | 13–16 | 75.7 |
| CYBERSHOKE Prospects | mirage | 13–12 | 75.8 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
| 18 | 2026-09 – 2026-10 | |
| 15 | 2026-05 – 2026-05 | |
| yngods | 11 | 2026-02 – 2026-03 |
| 8 | 2025-08 – 2025-08 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 44 | 1.01 | 75.0 | 71% |
| 2025 | 8 | 1.01 | 74.2 | 71% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 52 - Cup #8 Europe | 7 | 1.12 | 76.7 | 75% |
| CCT 2026 Europe Series 9 | 11 | 0.88 | 67.4 | 69% |
| CCT 2026 Contenders Europe Series 5 | 15 | 1.11 | 78.8 | 71% |
| CCT 2026 Contenders Europe Series 1 | 11 | 0.97 | 77.2 | 73% |
| Urban Academies #1 | 8 | 1.01 | 74.2 | 71% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
