Spieler
10Gewonnene Clutches
1v2Bester Clutch
0.95Rating
38Maps
0.96K/D
68.7ADR
35%HS
70%KAST
70–49Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 12 | 0.96 | 66.7 |
| dust2 | 9 | 0.96 | 65.1 |
| nuke | 7 | 0.88 | 71.0 |
| anubis | 5 | 1.06 | 75.1 |
| inferno | 3 | 1.05 | 78.6 |
| mirage | 2 | 0.84 | 62.8 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Chinggis Warriors | nuke | 17–19 | 59.1 |
| Chinggis Warriors | ancient | 18–16 | 90.6 |
| bLight.blue | ancient | 12–14 | 59.3 |
| bLight.blue | dust2 | 18–15 | 76.8 |
| JiJieHao | anubis | 9–16 | 50.2 |
| JiJieHao | mirage | 4–16 | 31.4 |
| Wings of Freedom | nuke | 10–15 | 47.6 |
| Wings of Freedom | ancient | 11–15 | 49.6 |
| Wings of Freedom | anubis | 14–14 | 74.6 |
| Unsettled Resentment | anubis | 18–14 | 89.2 |
| Unsettled Resentment | dust2 | 17–13 | 68.8 |
| Unsettled Resentment | ancient | 11–13 | 52.4 |
| 1WoF6 | nuke | 8–16 | 62.7 |
| Just Swing | nuke | 22–15 | 119.3 |
| Just Swing | ancient | 13–15 | 69.6 |
| Haunted House | nuke | 9–9 | 66.4 |
| Haunted House | ancient | 22–13 | 103.8 |
| NEXVOID | inferno | 23–14 | 109.5 |
| NEXVOID | ancient | 3–13 | 31.2 |
| The QUBE Esports | dust2 | 19–17 | 70.0 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
 Boring Players | 38 | 2026-02 – 2026-10 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 38 | 0.95 | 68.7 | 70% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 52 - Cup #3 Asia | 4 | 0.98 | 70.7 | 72% |
| Asian Champions League 2026 - CS | 9 | 0.83 | 58.9 | 65% |
| ESL Challenger League Season 51 - Cup #4 Asia | 6 | 1.15 | 87.4 | 71% |
| ESL Challenger League Season 51 - Cup #3 Asia | 6 | 1.01 | 70.1 | 76% |
| Yuqilin Pinnacle of Battle Season 3 | 5 | 0.84 | 56.8 | 66% |
| ESL Challenger League Season 51 - Cup #2 Asia | 5 | 0.99 | 80.4 | 74% |
| ESL Challenger League Season 51 - Cup #1 Asia | 3 | 0.90 | 57.7 | 65% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
