Jugador
kln
20708Clutches ganados
1v2Mejor clutch ganado
0.86Rating
36Mapas
0.86K/D
64.9ADR
57%HS
70%KAST
17–17Duelos de apertura
Por mapa
| Mapa | Mapas | K/D | ADR |
|---|---|---|---|
| mirage | 10 | 0.74 | 58.4 |
| anubis | 7 | 0.88 | 70.6 |
| ancient | 7 | 0.82 | 71.0 |
| nuke | 6 | 0.83 | 60.4 |
| vertigo | 5 | 1.15 | 63.3 |
| inferno | 1 | 1.33 | 79.2 |
Últimos 20 mapas
| Rival | Mapa | K–D | ADR |
|---|---|---|---|
| Yawara Esports | mirage | 2–16 | 30.9 |
| Yawara Esports | anubis | 4–15 | 86.5 |
| Yawara Esports | inferno | 16–12 | 79.2 |
| VeloX | nuke | 15–12 | 78.8 |
| VeloX | anubis | 16–18 | 81.9 |
| Intense | vertigo | 16–14 | 63.8 |
| Intense | ancient | 10–15 | 95.0 |
| Team SPORT | anubis | 10–14 | 58.9 |
| Team SPORT | vertigo | 18–15 | 70.1 |
| Os Sem Floresta | mirage | 15–16 | 82.2 |
| Os Sem Floresta | anubis | 10–10 | 65.6 |
| Os Sem Floresta | ancient | 12–13 | 74.0 |
| MIBR Academy | mirage | 16–23 | 55.0 |
| MIBR Academy | nuke | 7–12 | 49.1 |
| MIBR Academy | anubis | 12–12 | 51.4 |
| MIBR Academy | ancient | 14–18 | 66.0 |
| MIBR Academy | mirage | 12–13 | 69.8 |
| 9z Academy | ancient | 12–17 | 54.1 |
| 9z Academy | mirage | 20–19 | 81.8 |
| Looking4Org | ancient | 15–12 | 80.8 |
Historial de equipos
| Equipo | Mapas | Periodo |
|---|---|---|
| 2070 | 5 | 2024-11 – 2024-11 |
 PaiN Gaming Academy | 31 | 2024-03 – 2024-07 |
Carrera por año
| Año | Mapas | Rating | ADR | KAST |
|---|---|---|---|---|
| 2024 | 36 | 0.86 | 64.9 | 70% |
Rating por torneo
| Torneo | Mapas | Rating | ADR | KAST |
|---|---|---|---|---|
| Gamers Club Liga Série A: October 2024 | 5 | 0.79 | 73.5 | 68% |
| EPL World Series: Americas Season 9 | 4 | 0.93 | 70.3 | 72% |
| Gamers Club Liga Série A: June 2024 | 3 | 0.88 | 74.4 | 71% |
| Gamers Club Liga Série A: April 2024 | 10 | 0.92 | 65.5 | 69% |
| Gamers Club Liga Série A: March 2024 | 8 | 0.75 | 55.6 | 70% |
| Gamers Club Liga Série A: February 2024 | 6 | 0.93 | 62.6 | 71% |
El ADR y el KAST son cálculos propios a partir de los datos de rondas. El rating es un cálculo propio a partir de los datos de rondas (fórmula 1.0).
