Spieler
Goofy
Oldboys11Gewonnene Clutches
1v3Bester Clutch
0.86Rating
49Maps
0.84K/D
69.1ADR
43%HS
72%KAST
41–56Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 13 | 0.92 | 76.9 |
| dust2 | 8 | 0.74 | 60.3 |
| mirage | 8 | 0.78 | 64.6 |
| nuke | 8 | 0.97 | 70.3 |
| anubis | 6 | 0.83 | 72.1 |
| overpass | 3 | 0.62 | 65.6 |
| vertigo | 3 | 0.86 | 63.2 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| BIG Academy | dust2 | 7–19 | 47.8 |
| BIG Academy | mirage | 5–14 | 36.2 |
| Rune Eaters Esports | mirage | 17–11 | 92.8 |
| Rune Eaters Esports | ancient | 17–20 | 75.1 |
| DONSTU | dust2 | 15–12 | 67.3 |
| DONSTU | overpass | 8–16 | 58.2 |
| DONSTU | ancient | 12–12 | 74.6 |
| rottweilers | ancient | 21–11 | 103.6 |
| rottweilers | nuke | 7–13 | 46.9 |
| rottweilers | dust2 | 14–14 | 62.3 |
| Lavked | mirage | 11–18 | 51.6 |
| Lavked | nuke | 16–17 | 77.3 |
| Young Ninjas | dust2 | 20–22 | 67.6 |
| Young Ninjas | anubis | 10–18 | 70.0 |
| Young Ninjas | ancient | 17–12 | 81.5 |
| PV | dust2 | 5–16 | 32.7 |
| PV | ancient | 6–20 | 56.3 |
| 9INE | ancient | 15–20 | 83.8 |
| 9INE | mirage | 13–18 | 64.0 |
| HEROIC | dust2 | 4–16 | 41.7 |
Team-Historie
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 12 | 0.87 | 66.6 | 70% |
| 2024 | 28 | 0.85 | 68.0 | 71% |
| 2023 | 9 | 0.90 | 75.8 | 74% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 51 - Cup #4 Europe | 12 | 0.87 | 66.6 | 70% |
| Thunderpick World Championship 2024 - EU Qualifier #2 | 3 | 0.93 | 72.3 | 65% |
| Champion of Champions Tour Season 2 - Europe Series 7 | 4 | 0.58 | 61.3 | 60% |
| YaLLa Compass 2024 | 5 | 0.68 | 55.7 | 70% |
| Champion of Champions Tour - Global Finals 2024 | 9 | 0.83 | 67.1 | 75% |
| Thunderpick World Championship 2024 - EU Qualifier #1 | 7 | 1.10 | 78.8 | 77% |
| Compass Fall 2023 | 5 | 0.98 | 81.1 | 79% |
| CCT North Europe Series #8 | 4 | 0.77 | 67.1 | 65% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
