Spieler
17Gewonnene Clutches
1v2Bester Clutch
0.84Rating
51Maps
0.81K/D
72.9ADR
58%HS
68%KAST
123–151Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| nuke | 13 | 0.86 | 71.3 |
| ancient | 10 | 0.70 | 79.3 |
| dust2 | 10 | 0.91 | 77.1 |
| inferno | 9 | 0.84 | 68.3 |
| mirage | 5 | 0.88 | 69.5 |
| overpass | 3 | 0.62 | 62.3 |
| anubis | 1 | 0.71 | 68.9 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Just Swing | ancient | 9–15 | 78.0 |
| Just Swing | nuke | 9–16 | 68.8 |
| Just Swing | dust2 | 12–16 | 54.0 |
| NEXVOID | ancient | 14–16 | 73.3 |
| NEXVOID | anubis | 12–17 | 68.9 |
| NEXVOID | nuke | 19–24 | 81.4 |
| Team XDM | nuke | 17–12 | 78.3 |
| Team XDM | mirage | 10–14 | 47.0 |
| Haunted House | dust2 | 17–12 | 88.0 |
| Haunted House | nuke | 6–10 | 38.8 |
| Haunted House | mirage | 8–17 | 38.2 |
| 5star eSports | inferno | 10–17 | 49.5 |
| 5star eSports | nuke | 10–17 | 56.4 |
| 5star eSports | inferno | 0–1 | 0.0 |
| 5star eSports | nuke | 11–14 | 57.6 |
| JiJieHao | mirage | 13–15 | 87.1 |
| JiJieHao | dust2 | 17–17 | 92.7 |
| JiJieHao | ancient | 15–25 | 67.8 |
| NEXVOID | nuke | 19–25 | 64.7 |
| NEXVOID | overpass | 14–21 | 63.3 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
| 26 | 2026-04 – 2026-08 | |
| 2 | 2026-05 – 2026-05 | |
| Nomads | 23 | 2025-08 – 2025-10 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 28 | 0.82 | 71.8 | 68% |
| 2025 | 23 | 0.87 | 74.3 | 68% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 52 - Cup #1 Asia | 11 | 0.83 | 65.5 | 67% |
| Asian Champions League 2026 - CS | 9 | 0.76 | 66.1 | 65% |
| ESL Challenger League Season 51 - Cup #4 Asia | 8 | 0.89 | 87.3 | 74% |
| ESL Challenger League Season 50 - Cup #3 Asia | 7 | 0.95 | 74.8 | 71% |
| ESL Challenger League Season 50 - Cup #2 Asia | 5 | 0.73 | 71.7 | 67% |
| ESL Challenger League Season 50 - Cup #1 Asia | 11 | 0.89 | 75.4 | 67% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
