Spieler
5Gewonnene Clutches
1v2Bester Clutch
0.83Rating
23Maps
0.79K/D
67.8ADR
62%HS
68%KAST
34–66Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| mirage | 9 | 0.89 | 74.3 |
| dust2 | 5 | 0.70 | 62.2 |
| inferno | 3 | 0.71 | 65.3 |
| nuke | 3 | 0.85 | 69.9 |
| ancient | 3 | 0.68 | 58.1 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| ALIANZA LIMA | inferno | 12–15 | 68.8 |
| ALIANZA LIMA | dust2 | 8–8 | 69.7 |
| ALIANZA LIMA | mirage | 18–15 | 90.7 |
| PaiN Gaming Academy | mirage | 6–16 | 52.1 |
| Yawara Esports | mirage | 7–18 | 54.5 |
| Yawara Esports | dust2 | 2–16 | 37.8 |
| R2 | nuke | 12–18 | 72.0 |
| R2 | dust2 | 10–17 | 66.4 |
| TSG | mirage | 18–11 | 77.5 |
| TSG | dust2 | 14–11 | 64.6 |
| TSG | nuke | 14–15 | 79.8 |
| shimmer | dust2 | 14–17 | 68.3 |
| shimmer | nuke | 13–13 | 58.5 |
| shimmer | mirage | 18–14 | 95.3 |
| exregain | mirage | 15–15 | 90.1 |
| exregain | inferno | 11–15 | 65.6 |
| BOSS | ancient | 12–18 | 63.9 |
| BOSS | mirage | 11–16 | 60.1 |
| ArrivalSeven | ancient | 14–16 | 49.0 |
| ArrivalSeven | inferno | 7–12 | 60.5 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
 EXODIA | 3 | 2026-10 – 2026-10 |
| Blitzkrieg | 5 | 2026-05 – 2026-06 |
 FULL SEND | 6 | 2025-10 – 2025-10 |
| MarcaRegistrada | 9 | 2025-08 – 2025-08 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 8 | 0.64 | 64.8 | 64% |
| 2025 | 15 | 0.92 | 69.4 | 70% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT 2026 South America Series 7 | 3 | 0.91 | 77.3 | 80% |
| CCT 2026 South America Series 3 | 3 | 0.33 | 48.3 | 49% |
| CCT 2026 South America Series 2 | 2 | 0.69 | 69.2 | 61% |
| ESL Challenger League Season 50 - Cup #3 North America | 3 | 1.06 | 73.8 | 87% |
| CCT Season 3 North America Series 2 | 3 | 1.04 | 73.4 | 80% |
| ESL Challenger League Season 50 - Cup #1 North America | 2 | 0.93 | 79.5 | 65% |
| CCT Season 3 North America Series 1 | 7 | 0.79 | 62.2 | 59% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
