Spieler
Atomik
ex-Aether11Gewonnene Clutches
1v2Bester Clutch
1.06Rating
28Maps
1.11K/D
72.8ADR
35%HS
72%KAST
58–43Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| dust2 | 7 | 1.15 | 75.6 |
| ancient | 7 | 1.49 | 81.5 |
| nuke | 5 | 0.68 | 59.2 |
| mirage | 5 | 1.00 | 68.5 |
| anubis | 3 | 1.11 | 71.1 |
| inferno | 1 | 1.00 | 71.9 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Legacy Kingdom | inferno | 15–15 | 71.9 |
| Legacy Kingdom | nuke | 10–14 | 66.8 |
| Tsunami Esports | dust2 | 11–15 | 59.8 |
| Tsunami Esports | anubis | 8–12 | 71.8 |
| Lotus FE | anubis | 14–7 | 71.3 |
| Lotus FE | ancient | 25–10 | 79.6 |
| Getting Info | ancient | 16–17 | 61.8 |
| Getting Info | mirage | 7–14 | 58.0 |
| Homyno | dust2 | 15–12 | 56.5 |
| Homyno | mirage | 28–23 | 68.8 |
| DETONATE | dust2 | 16–11 | 101.0 |
| DETONATE | ancient | 24–9 | 91.4 |
| Dangerous | dust2 | 12–11 | 70.3 |
| Dangerous | mirage | 16–12 | 70.2 |
| Limitless | dust2 | 34–27 | 95.4 |
| Limitless | nuke | 8–15 | 44.9 |
| Akimbo | ancient | 10–17 | 62.6 |
| Akimbo | mirage | 8–14 | 46.9 |
| Akimbo | dust2 | 25–18 | 85.8 |
| InControl | ancient | 20–12 | 84.3 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
| ex-Aether | 2 | 2025-10 – 2025-10 |
| Team Aether | 19 | 2024-08 – 2025-01 |
| Victorum | 4 | 2024-07 – 2024-07 |
 Wanted Goons | 3 | 2024-03 – 2024-03 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2025 | 8 | 1.03 | 67.6 | 71% |
| 2024 | 20 | 1.07 | 74.4 | 72% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 50 - Cup #3 North America | 2 | 0.93 | 69.7 | 67% |
| Champion of Champions Tour Season 2 - North America Series 4 | 6 | 1.06 | 66.9 | 72% |
| Champion of Champions Tour Season 2 - North America Series 3 | 11 | 1.07 | 73.7 | 72% |
| Champion of Champions Tour Season 2 - North America Series 2 | 6 | 0.99 | 72.6 | 69% |
| Fragadelphia CS:DO | 3 | 1.24 | 80.9 | 82% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
