Spieler
ChipaaN
OlyBet14Gewonnene Clutches
1v2Bester Clutch
0.90Rating
37Maps
0.86K/D
66.2ADR
36%HS
63%KAST
78–84Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| dust2 | 11 | 0.89 | 72.5 |
| nuke | 7 | 1.06 | 75.4 |
| inferno | 5 | 0.65 | 50.0 |
| mirage | 4 | 0.72 | 59.4 |
| anubis | 4 | 0.78 | 60.0 |
| ancient | 4 | 0.92 | 62.8 |
| train | 2 | 0.68 | 61.6 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| ex-MANA | dust2 | 16–16 | 83.4 |
| ex-MANA | nuke | 28–20 | 99.4 |
| ex-MANA | mirage | 3–13 | 41.4 |
| Misa | anubis | 13–14 | 81.9 |
| Misa | dust2 | 13–17 | 89.4 |
| DONSTU | anubis | 13–15 | 56.9 |
| DONSTU | nuke | 10–19 | 54.0 |
| 2007 | nuke | 14–17 | 61.6 |
| 2007 | dust2 | 21–16 | 92.5 |
| 2007 | ancient | 16–18 | 56.6 |
| Project 91 | mirage | 19–12 | 87.6 |
| Project 91 | ancient | 11–18 | 59.0 |
| GenOne | inferno | 12–12 | 74.9 |
| GenOne | nuke | 17–10 | 74.9 |
| GenOne | dust2 | 16–24 | 51.2 |
| SAW | nuke | 15–11 | 73.7 |
| SAW | dust2 | 13–9 | 78.6 |
| SAW | inferno | 12–13 | 65.9 |
| DONSTU | ancient | 12–13 | 59.0 |
| DONSTU | anubis | 13–16 | 58.7 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
| OlyBet | 5 | 2026-07 – 2026-07 |
| Olybet SB | 30 | 2025-11 – 2026-06 |
 Nemiga Gaming | 2 | 2025-11 – 2025-11 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 33 | 0.93 | 68.4 | 64% |
| 2025 | 4 | 0.55 | 45.0 | 61% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT 2026 Europe Series 5 | 5 | 1.07 | 82.5 | 58% |
| CCT 2026 Challengers Europe Series 4 | 2 | 0.69 | 55.4 | 68% |
| CCT 2026 Europe Series 2 | 11 | 1.01 | 68.8 | 65% |
| ESL Challenger League Season 51 - Cup #3 Europe | 2 | 0.90 | 58.8 | 60% |
| CCT Season 3 Europe Series 19 | 4 | 0.71 | 58.6 | 54% |
| CCT Season 3 Europe Series 18 | 5 | 0.98 | 70.9 | 70% |
| ESL Challenger League Season 51 - Cup #1 Europe | 4 | 0.78 | 65.4 | 64% |
| X2ONE Masters 1 | 4 | 0.55 | 45.0 | 61% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
