Player
15Clutches won
1v3Best clutch won
0.99Rating
46Maps
0.95K/D
77.1ADR
61%HS
69%KAST
88–97Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| inferno | 10 | 0.99 | 77.7 |
| mirage | 8 | 0.92 | 72.2 |
| dust2 | 8 | 0.97 | 79.4 |
| ancient | 7 | 1.08 | 89.5 |
| anubis | 5 | 0.90 | 71.5 |
| nuke | 3 | 0.94 | 81.7 |
| cache | 2 | 1.10 | 86.0 |
| overpass | 2 | 0.48 | 45.4 |
| train | 1 | 0.43 | 46.0 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| B8 Academy | mirage | 12–14 | 72.4 |
| B8 Academy | inferno | 17–18 | 78.0 |
| B8 Academy | anubis | 14–14 | 73.3 |
| Bushido Wildcats | anubis | 8–14 | 52.9 |
| Bushido Wildcats | mirage | 20–16 | 72.8 |
| Vitality Academy | ancient | 11–22 | 48.2 |
| Vitality Academy | inferno | 10–13 | 62.3 |
| Vitality Academy | anubis | 18–20 | 71.3 |
| Minsk House | dust2 | 14–16 | 64.5 |
| Minsk House | inferno | 10–17 | 63.6 |
| EAC Extra | anubis | 14–12 | 87.9 |
| EAC Extra | inferno | 24–14 | 125.0 |
| Team Hybrids | dust2 | 17–8 | 144.9 |
| Team Hybrids | ancient | 22–10 | 114.0 |
| Novaq | dust2 | 0–0 | 0.0 |
| Novaq | dust2 | 21–22 | 82.3 |
| Novaq | ancient | 24–17 | 113.0 |
| VP.Prodigy | cache | 9–16 | 52.9 |
| VP.Prodigy | anubis | 0–0 | 0.0 |
| EAC Extra | ancient | 17–16 | 79.7 |
Team history
| Team | Maps | Period |
|---|---|---|
 Eternal Fire Academy | 39 | 2025-11 – 2026-08 |
 Eternal Fire | 7 | 2026-08 – 2026-08 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 28 | 1.06 | 81.8 | 70% |
| 2025 | 18 | 0.88 | 69.9 | 67% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| United21 Season 54 | 3 | 0.91 | 74.7 | 76% |
| European Pro League Regular Season 6 | 7 | 1.01 | 73.9 | 64% |
| United21 Season 53 | 4 | 1.16 | 83.8 | 65% |
| Games of the Future: CS2 | 7 | 1.18 | 93.1 | 80% |
| United21 Season 43 | 7 | 1.04 | 82.3 | 66% |
| European Pro League Regular Season 3 | 11 | 0.82 | 62.5 | 69% |
| United21 Season 41 | 7 | 0.97 | 81.2 | 64% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
