Player
arctic
Skele8Clutches won
1v3Best clutch won
0.95Rating
30Maps
0.93K/D
71.2ADR
48%HS
71%KAST
35–29Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| mirage | 10 | 0.83 | 64.6 |
| inferno | 6 | 1.13 | 77.9 |
| nuke | 5 | 0.99 | 73.2 |
| overpass | 5 | 0.62 | 59.3 |
| dust2 | 4 | 1.25 | 86.8 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| FURY | nuke | 19–17 | 97.1 |
| FURY | dust2 | 18–11 | 122.1 |
| FURY | inferno | 23–15 | 103.1 |
| Ground Zero Gaming | inferno | 16–14 | 87.2 |
| Ground Zero Gaming | mirage | 15–15 | 75.4 |
| Time Waves | inferno | 22–11 | 110.0 |
| Time Waves | mirage | 18–9 | 107.5 |
| MARKnLARRY | mirage | 21–16 | 88.4 |
| MARKnLARRY | nuke | 13–14 | 58.4 |
| Ground Zero Gaming | mirage | 13–11 | 80.2 |
| Ground Zero Gaming | dust2 | 11–14 | 47.2 |
| LELUX | dust2 | 22–16 | 119.5 |
| LELUX | mirage | 12–13 | 61.4 |
| Underground Esports | overpass | 13–14 | 66.0 |
| Underground Esports | nuke | 10–12 | 48.9 |
| Underground Esports | inferno | 11–13 | 60.9 |
| THUNDERdOWNUNDER | overpass | 2–14 | 28.6 |
| Vantage Esports | inferno | 14–16 | 53.8 |
| Rooster | mirage | 10–14 | 47.8 |
| Rooster | overpass | 11–15 | 65.2 |
Team history
| Team | Maps | Period |
|---|---|---|
| Skele | 9 | 2026-02 – 2026-04 |
| Vantage Esports | 20 | 2025-09 – 2026-03 |
 THUNDERdOWNUNDER | 1 | 2025-11 – 2025-11 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 13 | 1.20 | 88.6 | 78% |
| 2025 | 17 | 0.75 | 57.7 | 65% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 51 - Cup #4 Oceania | 7 | 1.35 | 99.8 | 78% |
| ESL Challenger League Season 51 - Cup #2 Oceania | 4 | 0.99 | 68.1 | 74% |
| CCT Season 3 Oceania Series 4 | 2 | 1.13 | 91.1 | 86% |
| CCT Season 3 Oceania Series 3 | 5 | 0.72 | 53.3 | 72% |
| ESL Challenger League Season 50 - Cup #4 Oceania | 4 | 0.65 | 53.7 | 54% |
| DFRAG Open Series - Season 1 | 8 | 0.80 | 61.7 | 66% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
