Spieler
5Gewonnene Clutches
1v2Bester Clutch
0.76Rating
26Maps
0.71K/D
59.6ADR
54%HS
62%KAST
31–57Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| nuke | 6 | 0.69 | 62.0 |
| ancient | 5 | 0.61 | 62.4 |
| mirage | 4 | 0.84 | 59.8 |
| inferno | 4 | 0.69 | 55.7 |
| cache | 3 | 0.67 | 63.2 |
| overpass | 2 | 0.97 | 61.1 |
| anubis | 1 | 0.29 | 42.0 |
| dust2 | 1 | 0.67 | 47.4 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Vitality Academy | ancient | 6–13 | 50.1 |
| Vitality Academy | mirage | 18–16 | 72.8 |
| CTRL | cache | 19–16 | 85.7 |
| CTRL | mirage | 11–12 | 55.4 |
| STATE | cache | 7–13 | 52.8 |
| STATE | ancient | 8–16 | 64.8 |
| Vitality Academy | cache | 3–14 | 42.1 |
| Vitality Academy | mirage | 16–15 | 72.6 |
| Vitality Academy | ancient | 8–15 | 51.5 |
| Eternal Fire Academy | inferno | 17–16 | 64.0 |
| Eternal Fire Academy | ancient | 14–16 | 76.6 |
| Gatorian | nuke | 7–15 | 55.3 |
| Gatorian | ancient | 11–17 | 61.7 |
| ALGO | mirage | 3–14 | 27.1 |
| ALGO | anubis | 4–14 | 42.0 |
| G2 Ares | overpass | 23–18 | 65.1 |
| G2 Ares | inferno | 10–15 | 61.0 |
| ex-Zero Tenacity | inferno | 7–14 | 43.6 |
| ex-Zero Tenacity | nuke | 3–13 | 28.9 |
| Leo Team | dust2 | 8–12 | 47.4 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
 Elite Klan | 13 | 2026-09 – 2026-10 |
| SINQU Esports | 13 | 2026-01 – 2026-05 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 26 | 0.76 | 59.6 | 62% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| European Pro League Regular Season 7 | 4 | 0.99 | 67.9 | 60% |
| United21 Season 56 | 5 | 0.59 | 58.3 | 52% |
| United21 Season 55 | 4 | 0.82 | 65.2 | 67% |
| European Pro League Regular Season 5 | 2 | 0.28 | 34.5 | 41% |
| European Pro league Series 6 | 4 | 0.84 | 59.0 | 65% |
| ESL Challenger League Season 51 - Cup #2 Europe | 4 | 0.69 | 47.8 | 56% |
| United21 x Esplay Challenge #1 | 3 | 0.81 | 70.0 | 81% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
