Player
35Clutches won
1v3Best clutch won
1.10Rating
88Maps
1.16K/D
81.5ADR
65%HS
75%KAST
162–123Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 19 | 1.27 | 96.8 |
| dust2 | 18 | 1.18 | 76.4 |
| nuke | 17 | 0.98 | 75.3 |
| mirage | 13 | 1.22 | 72.6 |
| cache | 11 | 1.18 | 86.0 |
| anubis | 8 | 1.20 | 80.6 |
| overpass | 2 | 1.19 | 86.7 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| ex-Zero Tenacity | nuke | 6–14 | 41.7 |
| ex-Zero Tenacity | cache | 16–14 | 100.7 |
| Sökerorg | dust2 | 23–9 | 89.2 |
| Sökerorg | ancient | 15–12 | 89.2 |
| Lavked | nuke | 22–20 | 84.4 |
| Lavked | mirage | 14–11 | 88.8 |
| Inner Circle Academy | dust2 | 19–13 | 84.8 |
| Inner Circle Academy | anubis | 8–15 | 53.8 |
| Inner Circle Academy | ancient | 18–14 | 88.3 |
| GenOne | dust2 | 20–17 | 66.8 |
| GenOne | nuke | 18–15 | 86.4 |
| GenOne | anubis | 17–14 | 82.9 |
| Black Phoenix | mirage | 17–11 | 71.7 |
| mellren | dust2 | 18–19 | 97.9 |
| mellren | mirage | 19–15 | 92.2 |
| mellren | nuke | 15–16 | 88.8 |
| The Last Resort | anubis | 12–12 | 71.7 |
| The Last Resort | ancient | 19–10 | 88.8 |
| BAKS Esports | nuke | 8–14 | 44.4 |
| BAKS Esports | cache | 23–15 | 98.3 |
Team history
| Team | Maps | Period |
|---|---|---|
 Team Spirit Academy | 87 | 2026-03 – 2026-10 |
 MORROW | 1 | 2026-09 – 2026-09 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 88 | 1.10 | 81.5 | 75% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT 2026 Europe Series 12 | 5 | 1.16 | 81.5 | 80% |
| CCT 2026 Europe Series 11 | 15 | 1.11 | 81.3 | 73% |
| CCT 2026 Europe Series 10 | 4 | 1.04 | 72.2 | 81% |
| CCT 2026 Challengers Europe Series 7 | 14 | 1.31 | 98.6 | 77% |
| CCT 2026 Europe Series 9 | 17 | 0.99 | 73.8 | 73% |
| CCT 2026 Challengers Europe Series 6 | 8 | 0.78 | 68.5 | 69% |
| CCT 2026 Contenders Europe Series 7 | 16 | 1.15 | 84.3 | 79% |
| CCT 2026 Contenders Europe Series 2 | 9 | 1.09 | 76.1 | 75% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
