Spieler
11Gewonnene Clutches
1v3Bester Clutch
0.88Rating
59Maps
0.91K/D
63.9ADR
31%HS
69%KAST
21–15Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 17 | 0.95 | 63.7 |
| nuke | 15 | 0.89 | 64.2 |
| anubis | 13 | 1.04 | 68.7 |
| mirage | 8 | 0.71 | 52.6 |
| overpass | 4 | 0.80 | 67.1 |
| vertigo | 2 | 0.91 | 72.7 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Illuminar | ancient | 6–16 | 31.1 |
| Illuminar | anubis | 23–13 | 103.2 |
| Illuminar | mirage | 17–13 | 85.8 |
| Monte Gen | anubis | 11–13 | 43.1 |
| Monte Gen | nuke | 12–16 | 56.6 |
| Monte Gen | vertigo | 2–12 | 31.7 |
| Fluffy Gangsters | anubis | 14–14 | 80.1 |
| Fluffy Gangsters | nuke | 11–15 | 47.5 |
| Team Space | nuke | 16–17 | 92.6 |
| Team Space | anubis | 7–16 | 44.1 |
| ex-Zero Tenacity | nuke | 7–13 | 40.5 |
| ex-Zero Tenacity | anubis | 22–19 | 72.9 |
| GUN5 | nuke | 29–26 | 89.0 |
| GUN5 | ancient | 10–14 | 63.5 |
| SAMPI | mirage | 11–12 | 45.4 |
| SAMPI | nuke | 10–13 | 54.4 |
| RUBY | ancient | 13–14 | 64.4 |
| RUBY | nuke | 14–13 | 59.8 |
| RUBY | nuke | 16–19 | 71.7 |
| RUBY | ancient | 7–13 | 36.3 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
 HAVU | 59 | 2023-10 – 2024-08 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2024 | 38 | 0.89 | 64.5 | 68% |
| 2023 | 21 | 0.86 | 62.9 | 69% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| Champion of Champions Tour Season 2 - Europe Series 8 | 10 | 0.81 | 61.7 | 71% |
| Champion of Champions Tour Season 2 - Europe Series 5 | 8 | 0.88 | 63.8 | 73% |
| Champion of Champions Tour Season 2 - Europe Series 2 | 10 | 0.97 | 65.3 | 66% |
| Champion of Champions Tour Season 2 - Europe Series 1 | 5 | 0.95 | 71.7 | 63% |
| YaLLa Compass Spring 2024 | 5 | 0.91 | 63.1 | 64% |
| Elisa Masters Espoo 2023 | 6 | 0.88 | 56.1 | 70% |
| CCT East Europe Series 4 | 4 | 0.61 | 58.2 | 64% |
| European Pro League Season 11 Division 1 | 11 | 0.94 | 68.1 | 71% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
