Spieler
Oxbrandd
ADEPTS12Gewonnene Clutches
1v3Bester Clutch
0.75Rating
64Maps
0.71K/D
62.7ADR
57%HS
64%KAST
83–126Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| anubis | 16 | 0.77 | 65.1 |
| inferno | 13 | 0.57 | 54.7 |
| vertigo | 12 | 0.75 | 66.1 |
| ancient | 10 | 0.61 | 54.5 |
| dust2 | 8 | 0.85 | 71.7 |
| nuke | 5 | 0.80 | 69.0 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Viperio | vertigo | 8–15 | 43.5 |
| Viperio | ancient | 15–14 | 76.1 |
| Viperio | anubis | 9–18 | 51.7 |
| Aurora YB | inferno | 5–15 | 40.8 |
| Aurora YB | vertigo | 7–16 | 38.6 |
| kONO | anubis | 13–15 | 81.5 |
| kONO | vertigo | 8–13 | 49.3 |
| kONO | dust2 | 9–15 | 68.1 |
| 9INE Academy | dust2 | 11–6 | 89.1 |
| 9INE Academy | vertigo | 17–17 | 76.4 |
| 9INE Academy | anubis | 11–17 | 42.2 |
| Spotless | anubis | 4–13 | 33.8 |
| Spotless | inferno | 10–15 | 56.4 |
| Spotless | inferno | 14–14 | 65.1 |
| Spotless | anubis | 10–16 | 56.0 |
| WOPA Esport | anubis | 11–15 | 70.2 |
| WOPA Esport | inferno | 15–22 | 66.0 |
| WOPA Esport | nuke | 10–19 | 54.2 |
| PARTIZAN | inferno | 7–17 | 39.1 |
| PARTIZAN | dust2 | 3–17 | 23.9 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
| ADEPTS | 64 | 2024-06 – 2024-10 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2024 | 64 | 0.75 | 62.7 | 64% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| European Pro League Season 21: Division 2 - CS2 | 11 | 0.75 | 59.4 | 65% |
| Prodigy Series #3 | 4 | 0.73 | 54.5 | 57% |
| United21 Season 20 | 5 | 0.54 | 49.8 | 58% |
| Galaxy Battle #1 | 13 | 0.74 | 59.9 | 64% |
| European Pro League Season 20: Division 2 - CS2 | 7 | 0.91 | 74.2 | 72% |
| Champion of Champions Tour Season 2 - Europe Series 7 | 5 | 0.71 | 61.3 | 58% |
| Champion of Champions Tour Season 2 - Europe Series 6 | 5 | 0.98 | 75.1 | 69% |
| United21 Season 17 | 8 | 0.71 | 60.6 | 66% |
| European Pro League Season 18: Division 2 - CS2 | 6 | 0.72 | 71.2 | 65% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
