Player
suisha
FUT Turkuaz16Clutches won
1v2Best clutch won
0.99Rating
40Maps
1.00K/D
70.5ADR
34%HS
69%KAST
95–64Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| dust2 | 12 | 1.14 | 78.1 |
| mirage | 7 | 1.12 | 77.5 |
| nuke | 5 | 0.89 | 74.9 |
| inferno | 5 | 0.91 | 58.9 |
| overpass | 4 | 0.74 | 52.0 |
| ancient | 3 | 0.91 | 67.0 |
| train | 3 | 1.06 | 67.7 |
| anubis | 1 | 0.86 | 61.7 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| INFURITY Gaming | nuke | 14–16 | 69.2 |
| INFURITY Gaming | dust2 | 11–15 | 68.4 |
| LPH Gaming | nuke | 15–16 | 75.1 |
| LPH Gaming | dust2 | 11–15 | 71.4 |
| ALGO | anubis | 12–14 | 61.7 |
| ALGO | mirage | 17–17 | 80.0 |
| Misa | mirage | 19–17 | 91.0 |
| Misa | ancient | 16–14 | 62.5 |
| Young Ninjas | overpass | 7–17 | 40.7 |
| Young Ninjas | dust2 | 17–16 | 91.0 |
| BRUTE | mirage | 12–17 | 69.9 |
| BRUTE | dust2 | 13–11 | 59.8 |
| BRUTE | inferno | 7–13 | 48.8 |
| megoshort | mirage | 18–5 | 112.0 |
| YinYang | nuke | 14–14 | 95.9 |
| YinYang | dust2 | 19–16 | 86.8 |
| BRUTE | inferno | 15–13 | 77.5 |
| BRUTE | ancient | 7–14 | 64.6 |
| BRUTE | dust2 | 16–11 | 77.0 |
| Wildcard Academy | dust2 | 15–9 | 103.1 |
Team history
| Team | Maps | Period |
|---|---|---|
| FUT Turkuaz | 4 | 2026-05 – 2026-06 |
| FTUR | 2 | 2026-05 – 2026-05 |
| GANK Esports | 32 | 2025-10 – 2025-12 |
 Eternal Fire Academy | 2 | 2025-04 – 2025-04 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 6 | 0.87 | 71.3 | 65% |
| 2025 | 34 | 1.01 | 70.4 | 69% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| United21 Season 50 | 4 | 0.85 | 71.3 | 66% |
| United21 Season 49 | 2 | 0.92 | 71.3 | 64% |
| United21 Season 42 | 2 | 1.10 | 77.4 | 72% |
| United21 Season 41 | 2 | 0.79 | 68.3 | 55% |
| United21 Season 40 | 11 | 1.10 | 80.2 | 71% |
| European Pro League Regular Season 2 | 5 | 0.85 | 56.4 | 70% |
| United21 Season 39 | 12 | 1.03 | 68.2 | 69% |
| United21 Season 31 | 2 | 0.90 | 63.7 | 69% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
