Player
OxygeN
ComeBack11Clutches won
1v2Best clutch won
0.76Rating
36Maps
0.72K/D
61.4ADR
54%HS
62%KAST
60–87Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| mirage | 11 | 0.63 | 54.9 |
| ancient | 11 | 0.79 | 70.4 |
| dust2 | 8 | 0.79 | 59.9 |
| inferno | 3 | 0.64 | 57.3 |
| overpass | 2 | 0.76 | 66.7 |
| nuke | 1 | 0.17 | 27.0 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| Mana Esports | dust2 | 16–22 | 48.6 |
| Mana Esports | mirage | 9–16 | 54.1 |
| Mana Esports | ancient | 14–12 | 72.2 |
| Fire Flux Esports | mirage | 16–23 | 63.4 |
| Fire Flux Esports | dust2 | 13–13 | 83.3 |
| Fire Flux Esports | ancient | 10–19 | 70.9 |
| KHAN | overpass | 13–15 | 65.0 |
| KHAN | mirage | 8–16 | 52.9 |
| KHAN | ancient | 8–12 | 53.5 |
| CYBERSHOKE Esports | ancient | 10–17 | 49.4 |
| CYBERSHOKE Esports | mirage | 15–16 | 64.8 |
| Imperial Valkyries | ancient | 23–15 | 113.2 |
| Imperial Valkyries | dust2 | 17–14 | 66.4 |
| Eternal Fire | mirage | 11–11 | 65.6 |
| Eternal Fire | overpass | 13–19 | 68.5 |
| Eternal Fire | dust2 | 18–15 | 73.2 |
| Troglodytes | dust2 | 14–15 | 67.3 |
| Troglodytes | ancient | 12–18 | 77.4 |
| Troglodytes | mirage | 15–14 | 78.1 |
| Fire Flux Esports | dust2 | 3–16 | 25.6 |
Team history
| Team | Maps | Period |
|---|---|---|
| ComeBack | 3 | 2025-11 – 2025-11 |
| Y5 Esports | 24 | 2025-09 – 2025-10 |
| modeame | 5 | 2025-06 – 2025-06 |
| Rage | 4 | 2025-05 – 2025-05 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2025 | 36 | 0.76 | 61.4 | 62% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| European Pro league Series 3 | 3 | 0.81 | 56.1 | 69% |
| CCT Season 3 Europe Series 8 | 10 | 0.78 | 62.2 | 55% |
| CCT Season 3 Contenders Europe 1 | 10 | 0.90 | 73.2 | 71% |
| CCT Season 3 Europe Series 7 | 4 | 0.71 | 57.2 | 64% |
| CCT Season 3 Europe Series 3 | 4 | 0.51 | 56.3 | 49% |
| CCT Season 3 Europe Series 2 | 2 | 0.66 | 47.3 | 60% |
| CCT Season 3 Europe Series 1 | 2 | 0.41 | 35.2 | 45% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
