Spieler
20Gewonnene Clutches
1v3Bester Clutch
0.98Rating
67Maps
1.02K/D
65.7ADR
31%HS
69%KAST
158–123Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 14 | 0.97 | 62.3 |
| mirage | 13 | 0.96 | 63.6 |
| anubis | 12 | 1.43 | 73.8 |
| dust2 | 12 | 0.91 | 65.6 |
| nuke | 9 | 0.94 | 65.7 |
| vertigo | 7 | 0.93 | 62.0 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| GamerLegion | ancient | 14–17 | 66.3 |
| GamerLegion | vertigo | 9–12 | 46.5 |
| GamerLegion | anubis | 15–8 | 84.0 |
| SAW | dust2 | 7–13 | 46.9 |
| FLC | anubis | 0–2 | 9.0 |
| WOPA Esport | anubis | 16–13 | 69.3 |
| WOPA Esport | ancient | 9–15 | 57.5 |
| 9INE Academy | nuke | 38–31 | 77.7 |
| 9INE Academy | mirage | 10–14 | 49.2 |
| Natus Vincere Junior | dust2 | 17–15 | 84.3 |
| Natus Vincere Junior | ancient | 6–14 | 40.6 |
| Leo Team | mirage | 13–16 | 53.7 |
| Leo Team | ancient | 6–11 | 35.1 |
| Viperio | anubis | 9–18 | 37.3 |
| Viperio | vertigo | 16–7 | 104.2 |
| Verdant | anubis | 20–10 | 110.7 |
| Verdant | ancient | 11–5 | 66.2 |
| Verdant | nuke | 12–16 | 48.9 |
| Into The Breach | mirage | 15–16 | 72.3 |
| Into The Breach | ancient | 17–18 | 82.1 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
 Team UNiTY | 66 | 2024-07 – 2024-11 |
| Dynamo Eclot | 1 | 2024-11 – 2024-11 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2024 | 67 | 0.98 | 65.7 | 69% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| Perfect World Shanghai Major 2024: European RMR A | 5 | 0.85 | 58.6 | 69% |
| United21 Season 21 | 4 | 1.02 | 67.1 | 65% |
| United21 Season 20 | 11 | 1.00 | 63.8 | 68% |
| European Pro League Season 19 - CS2 | 6 | 1.02 | 76.7 | 68% |
| United21 Season 19 | 12 | 0.91 | 64.7 | 73% |
| United21 Season 18 | 18 | 1.00 | 65.8 | 70% |
| European Pro League Season 19: Division 2 - CS2 | 4 | 0.82 | 59.1 | 66% |
| European Pro League Season 17: Division 1 | 7 | 1.10 | 67.7 | 69% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
