Spieler
w0mbat
Shanghai Sharks8Gewonnene Clutches
1v3Bester Clutch
0.95Rating
27Maps
0.97K/D
75.5ADR
56%HS
72%KAST
63–55Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| nuke | 9 | 0.90 | 72.7 |
| overpass | 5 | 1.07 | 79.2 |
| mirage | 4 | 0.77 | 74.6 |
| inferno | 4 | 1.18 | 66.3 |
| ancient | 3 | 1.21 | 88.3 |
| anubis | 2 | 0.91 | 79.4 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| BBBMBCBS | anubis | 15–18 | 75.7 |
| BBBMBCBS | nuke | 15–17 | 67.0 |
| Underground ESC | anubis | 16–16 | 83.8 |
| Underground ESC | overpass | 22–10 | 112.3 |
| Underground ESC | nuke | 11–17 | 55.8 |
| Ding Cuts | mirage | 10–19 | 77.7 |
| Ding Cuts | overpass | 18–21 | 83.8 |
| Ding Cuts | ancient | 12–14 | 69.0 |
| LITE Esports | nuke | 13–19 | 50.4 |
| LITE Esports | ancient | 12–12 | 100.7 |
| Mindfreak | mirage | 14–23 | 60.1 |
| Mindfreak | overpass | 11–17 | 60.7 |
| Mindfreak | inferno | 16–14 | 62.4 |
| Rooster | nuke | 14–17 | 80.4 |
| Rooster | inferno | 7–11 | 49.8 |
| Rooster | mirage | 15–10 | 88.7 |
| BBBMBCBS | overpass | 13–8 | 73.4 |
| BBBMBCBS | nuke | 14–13 | 74.5 |
| Blingus | nuke | 16–10 | 92.0 |
| Blingus | ancient | 17–8 | 99.8 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
| Shanghai Sharks | 8 | 2026-02 – 2026-02 |
| Underground ESC | 12 | 2025-11 – 2025-12 |
| Underground Esports | 5 | 2025-11 – 2025-11 |
 KZG | 2 | 2025-10 – 2025-10 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 8 | 0.93 | 78.0 | 70% |
| 2025 | 19 | 0.96 | 74.3 | 73% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT Season 3 Oceania Series 4 | 5 | 1.03 | 78.3 | 70% |
| DFRAG Open Series - Series 3 | 3 | 0.78 | 77.5 | 72% |
| DFRAG Open Series - Series 2 | 2 | 0.77 | 66.8 | 72% |
| ANZC LAN | 10 | 0.97 | 73.5 | 73% |
| CCT Season 3 Oceania Series 3 | 5 | 1.04 | 78.9 | 81% |
| ESL Challenger League Season 50 - Cup #3 Oceania | 2 | 0.88 | 76.0 | 57% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
