Player
9Clutches won
1v3Best clutch won
1.04Rating
40Maps
1.04K/D
77.0ADR
41%HS
71%KAST
108–78Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 9 | 1.14 | 79.5 |
| anubis | 8 | 1.03 | 70.8 |
| inferno | 8 | 0.79 | 72.4 |
| nuke | 7 | 1.07 | 78.3 |
| dust2 | 6 | 1.03 | 78.9 |
| mirage | 1 | 1.67 | 80.0 |
| overpass | 1 | 1.29 | 103.6 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| Noir Verse | nuke | 10–17 | 52.4 |
| Noir Verse | ancient | 9–16 | 55.1 |
| Noir Verse | anubis | 16–11 | 70.9 |
| Phantom Academy | anubis | 13–15 | 92.3 |
| Phantom Academy | dust2 | 20–9 | 96.0 |
| mellren | nuke | 10–15 | 60.2 |
| mellren | inferno | 7–13 | 49.0 |
| Noir Verse | ancient | 20–17 | 65.2 |
| Noir Verse | mirage | 20–12 | 80.0 |
| Saint Sinners | anubis | 11–16 | 69.1 |
| Saint Sinners | dust2 | 13–17 | 73.6 |
| SAW Youngsters | anubis | 15–14 | 77.5 |
| SAW Youngsters | inferno | 16–12 | 87.0 |
| Fire Flux Esports | dust2 | 11–15 | 75.6 |
| Fire Flux Esports | nuke | 13–14 | 58.6 |
| megoshort | ancient | 14–13 | 82.9 |
| megoshort | dust2 | 10–13 | 75.6 |
| megoshort | anubis | 18–5 | 92.1 |
| Fire Flux Esports | inferno | 6–13 | 56.4 |
| Fire Flux Esports | anubis | 13–16 | 56.8 |
Team history
| Team | Maps | Period |
|---|---|---|
 antidaun | 13 | 2026-10 – 2026-10 |
| Strael Bora | 27 | 2026-05 – 2026-09 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 40 | 1.04 | 77.0 | 71% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT 2026 Europe Series 12 | 4 | 1.03 | 64.6 | 72% |
| CCT 2026 Europe Series 11 | 4 | 0.94 | 76.8 | 76% |
| CCT 2026 Challengers Europe Series 8 | 5 | 0.98 | 72.8 | 72% |
| CCT 2026 Challengers Europe Series 6 | 5 | 1.08 | 75.6 | 68% |
| ESL Challenger League Season 52 - Cup #5 Europe | 4 | 0.75 | 56.8 | 64% |
| ESL Challenger League Season 52 - Cup #4 Europe | 4 | 0.99 | 68.2 | 70% |
| Parken Challenger Championship #8 | 14 | 1.17 | 90.9 | 73% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
