Player
QQLIGHTNING
Banzai10Clutches won
1v4Best clutch won
0.84Rating
29Maps
0.81K/D
64.8ADR
59%HS
65%KAST
43–54Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 10 | 1.02 | 74.2 |
| dust2 | 7 | 0.64 | 55.7 |
| mirage | 4 | 0.82 | 61.2 |
| inferno | 4 | 0.74 | 59.4 |
| anubis | 2 | 0.53 | 59.3 |
| nuke | 2 | 0.79 | 67.4 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| Not A Squad Esports | ancient | 36–28 | 81.0 |
| Not A Squad Esports | dust2 | 2–15 | 28.7 |
| Vitalem Aerem | ancient | 8–15 | 60.0 |
| Vitalem Aerem | anubis | 6–13 | 45.2 |
| Last Bullet | dust2 | 11–13 | 79.3 |
| Last Bullet | ancient | 14–20 | 67.8 |
| WydoEsports | ancient | 12–9 | 81.9 |
| WydoEsports | mirage | 11–7 | 70.5 |
| The QUBE Esports | dust2 | 11–16 | 67.9 |
| The QUBE Esports | ancient | 8–17 | 65.4 |
| The QUBE Esports | mirage | 15–13 | 78.3 |
| Last Bullet | ancient | 7–11 | 47.0 |
| Last Bullet | dust2 | 12–14 | 67.5 |
| Last Bullet | mirage | 14–23 | 52.1 |
| NEXVOID | inferno | 11–19 | 57.2 |
| The QUBE Esports | ancient | 10–12 | 60.2 |
| The QUBE Esports | dust2 | 13–10 | 66.1 |
| The QUBE Esports | mirage | 10–18 | 47.3 |
| Boring Players | dust2 | 11–17 | 50.3 |
| Boring Players | ancient | 20–20 | 68.4 |
Team history
| Team | Maps | Period |
|---|---|---|
| Banzai | 4 | 2026-08 – 2026-08 |
| BMZ | 17 | 2026-04 – 2026-05 |
 IHC Esports | 8 | 2025-10 – 2025-10 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 21 | 0.80 | 63.6 | 64% |
| 2025 | 8 | 0.94 | 68.1 | 68% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 52 - Cup #1 Asia | 4 | 0.82 | 61.4 | 59% |
| Asian Champions League 2026 - CS | 4 | 0.94 | 74.2 | 69% |
| ESL Challenger League Season 51 - Cup #4 Asia | 6 | 0.73 | 63.0 | 65% |
| ESL Challenger League Season 51 - Cup #3 Asia | 7 | 0.78 | 60.2 | 64% |
| ESL Challenger League Season 50 - Cup #4 Asia | 8 | 0.94 | 68.1 | 68% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
