Player
Kre1N
Duggedup13Clutches won
1v4Best clutch won
0.99Rating
39Maps
1.01K/D
68.1ADR
43%HS
70%KAST
73–59Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 11 | 0.88 | 60.8 |
| mirage | 9 | 1.33 | 77.1 |
| anubis | 7 | 1.01 | 68.8 |
| nuke | 5 | 1.00 | 69.8 |
| overpass | 2 | 1.26 | 64.2 |
| dust2 | 2 | 1.10 | 79.6 |
| inferno | 2 | 0.66 | 61.4 |
| train | 1 | 0.64 | 68.9 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| Inner Circle AC | mirage | 13–12 | 67.6 |
| Inner Circle AC | overpass | 12–16 | 54.4 |
| Partizan Esports | dust2 | 16–10 | 75.5 |
| Partizan Esports | ancient | 6–12 | 31.7 |
| ENRAGE | mirage | 14–8 | 67.7 |
| ENRAGE | overpass | 17–7 | 74.1 |
| Misa Itemsatis | nuke | 7–13 | 52.2 |
| Misa Itemsatis | mirage | 8–15 | 54.9 |
| Copenhagen Wolves | mirage | 15–18 | 72.4 |
| Copenhagen Wolves | ancient | 15–18 | 63.6 |
| Copenhagen Wolves | anubis | 4–17 | 32.5 |
| Team UNiTY | ancient | 16–9 | 97.2 |
| Team UNiTY | mirage | 20–7 | 106.5 |
| Alliance | nuke | 16–17 | 86.0 |
| Alliance | train | 9–14 | 68.9 |
| Team UNiTY | anubis | 22–15 | 78.5 |
| Team UNiTY | mirage | 14–5 | 89.8 |
| Aurora Gaming | ancient | 8–16 | 43.8 |
| Aurora Gaming | inferno | 8–14 | 57.7 |
| Johnny Speeds | ancient | 22–18 | 63.0 |
Team history
| Team | Maps | Period |
|---|---|---|
| Duggedup | 8 | 2026-03 – 2026-03 |
| ex-Permitta | 9 | 2025-05 – 2025-05 |
 Permitta | 22 | 2025-01 – 2025-03 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 8 | 0.93 | 59.9 | 72% |
| 2025 | 31 | 1.01 | 70.0 | 70% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT 2026 Contenders Europe Series 2 | 8 | 0.93 | 59.9 | 72% |
| CCT Season 3 Europe Series 2 | 9 | 1.08 | 75.9 | 68% |
| European Pro League Season 23 - CS2 | 14 | 0.96 | 66.3 | 70% |
| European Pro League Season 25: Division 2 - CS2 | 2 | 0.79 | 54.6 | 61% |
| European Pro League Season 22 - CS2 | 6 | 1.09 | 74.6 | 71% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
