Player
EXUS
PGE Turów11Clutches won
1v2Best clutch won
0.90Rating
54Maps
0.86K/D
74.0ADR
54%HS
67%KAST
0–0Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 13 | 0.79 | 69.1 |
| anubis | 11 | 0.92 | 79.7 |
| nuke | 10 | 0.77 | 70.6 |
| mirage | 9 | 0.98 | 78.4 |
| vertigo | 8 | 0.98 | 77.0 |
| overpass | 3 | 0.61 | 63.9 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| Team UNiTY | ancient | 13–19 | 61.0 |
| Team UNiTY | anubis | 13–19 | 84.4 |
| Viperio | nuke | 12–18 | 67.5 |
| Viperio | ancient | 17–17 | 89.3 |
| Viperio | anubis | 16–14 | 90.5 |
| SAW | nuke | 17–18 | 83.8 |
| SAW | vertigo | 12–17 | 70.3 |
| Eclot Gaming | anubis | 3–14 | 43.3 |
| Eclot Gaming | ancient | 10–16 | 64.3 |
| Eclot Gaming | nuke | 16–9 | 95.1 |
| Illuminar | anubis | 15–11 | 83.7 |
| Illuminar | vertigo | 12–14 | 63.3 |
| Lilmix | mirage | 15–16 | 89.0 |
| Lilmix | ancient | 13–14 | 55.3 |
| ROSOMAHA Team | mirage | 21–19 | 86.1 |
| ROSOMAHA Team | anubis | 16–18 | 71.2 |
| ROSOMAHA Team | vertigo | 16–15 | 78.2 |
| Espionage | anubis | 21–20 | 97.2 |
| Espionage | nuke | 16–18 | 68.4 |
| Lilmix | anubis | 16–14 | 77.5 |
Team history
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2024 | 25 | 0.97 | 77.4 | 65% |
| 2023 | 29 | 0.84 | 70.9 | 69% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| European Pro League Season 17: Division 2 - CS2 | 2 | 0.79 | 71.3 | 53% |
| Thunderpick World Championship 2024 - EU Qualifier #1 | 2 | 0.82 | 77.2 | 60% |
| United21 Season14 | 5 | 0.92 | 78.0 | 70% |
| European Pro League Season 16: Division 2 - CS2 | 16 | 1.02 | 78.0 | 66% |
| A1 Gaming League Season 7 | 5 | 0.90 | 67.2 | 69% |
| CCT East Europe Series 4 | 3 | 0.78 | 65.0 | 62% |
| CCT Central Europe Series #8 | 2 | 1.00 | 80.7 | 79% |
| Polska Liga Esportowa 2023: Split #3 | 8 | 0.94 | 82.7 | 73% |
| CCT East Europe Series 3 | 8 | 0.70 | 62.5 | 68% |
| CCT North Europe Series #8 | 3 | 0.70 | 62.6 | 56% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
