Spieler
9Gewonnene Clutches
1v2Bester Clutch
0.92Rating
36Maps
0.92K/D
61.9ADR
47%HS
72%KAST
41–39Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| nuke | 9 | 1.09 | 63.3 |
| ancient | 8 | 0.88 | 66.4 |
| anubis | 7 | 1.19 | 68.8 |
| mirage | 6 | 0.70 | 54.4 |
| inferno | 3 | 0.94 | 61.1 |
| train | 2 | 0.43 | 39.5 |
| overpass | 1 | 0.92 | 56.8 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Zomblers LLC | mirage | 6–14 | 45.0 |
| Zomblers LLC | ancient | 10–14 | 63.0 |
| Zomblers LLC | overpass | 11–12 | 56.8 |
| Reign Above | nuke | 7–11 | 34.0 |
| Reign Above | anubis | 9–9 | 56.6 |
| Team Aether | ancient | 21–12 | 102.7 |
| Team Aether | anubis | 17–8 | 86.3 |
| exregain | ancient | 8–18 | 42.7 |
| exregain | inferno | 10–11 | 56.5 |
| BOSS | inferno | 13–16 | 65.2 |
| BOSS | ancient | 25–24 | 77.4 |
| Wildcard | nuke | 8–17 | 42.4 |
| Wildcard | mirage | 17–30 | 50.5 |
| NRG | mirage | 6–15 | 47.3 |
| NRG | ancient | 4–15 | 20.7 |
| Team UNiTY | train | 7–15 | 34.9 |
| Team UNiTY | ancient | 6–15 | 34.3 |
| Alliance | train | 6–15 | 44.3 |
| Alliance | anubis | 5–13 | 47.5 |
| timbermen | anubis | 17–12 | 79.4 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
 Fisher College | 19 | 2025-05 – 2026-05 |
| Fisher Tsunami | 13 | 2024-10 – 2024-10 |
| Aura | 2 | 2024-10 – 2024-10 |
| boyfriend_peek9 | 2 | 2024-03 – 2024-03 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 15 | 0.81 | 57.2 | 67% |
| 2025 | 4 | 0.47 | 40.0 | 55% |
| 2024 | 17 | 1.10 | 70.6 | 81% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 51 - Cup #4 North America | 9 | 0.91 | 60.0 | 70% |
| IEM Atlanta 2026 Americas Qualifier | 4 | 0.79 | 59.9 | 66% |
| BLAST Open Spring 2026: NA Closed Qualifier | 2 | 0.40 | 35.8 | 54% |
| CCT Season 3 Europe Series 2 | 4 | 0.47 | 40.0 | 55% |
| FragPhillyTap2 | 15 | 1.05 | 67.2 | 81% |
| Fragadelphia CS:DO | 2 | 1.62 | 103.3 | 82% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
