Spieler
Ag3NtK
klanpedrajas11Gewonnene Clutches
1v3Bester Clutch
0.85Rating
36Maps
0.82K/D
69.2ADR
58%HS
71%KAST
35–43Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 10 | 0.82 | 77.4 |
| inferno | 7 | 0.82 | 60.3 |
| dust2 | 6 | 0.76 | 68.0 |
| nuke | 5 | 0.94 | 67.2 |
| anubis | 5 | 0.84 | 73.5 |
| mirage | 2 | 0.81 | 60.5 |
| overpass | 1 | 0.36 | 36.8 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Team KZ | ancient | 9–16 | 49.3 |
| Team KZ | dust2 | 5–15 | 52.4 |
| Mirage Team | inferno | 7–8 | 40.2 |
| Mirage Team | ancient | 0–1 | 61.0 |
| Liga Pro Team | dust2 | 0–0 | 0.0 |
| Liga Pro Team | dust2 | 12–22 | 40.4 |
| Liga Pro Team | inferno | 18–15 | 87.6 |
| Iberian Soul | nuke | 11–15 | 53.4 |
| Iberian Soul | overpass | 5–14 | 36.8 |
| skout | dust2 | 9–10 | 60.9 |
| skout | ancient | 9–10 | 83.4 |
| DESEMPREGO | nuke | 8–17 | 59.7 |
| DESEMPREGO | dust2 | 20–18 | 97.0 |
| skout | dust2 | 12–11 | 100.1 |
| EXSAD Gaming | anubis | 5–14 | 52.9 |
| EXSAD Gaming | inferno | 11–14 | 49.0 |
| EXSAD Gaming | ancient | 44–46 | 91.5 |
| SweetBonanzers | ancient | 9–16 | 66.2 |
| Talaintanse | nuke | 20–12 | 79.8 |
| Los Alpacas | inferno | 5–12 | 55.1 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
| klanpedrajas | 9 | 2025-07 – 2026-08 |
| Klan Pedrajas | 5 | 2026-08 – 2026-08 |
| FALKE ESPORTS | 22 | 2023-10 – 2024-10 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 7 | 0.76 | 54.1 | 63% |
| 2025 | 7 | 0.83 | 70.2 | 67% |
| 2024 | 5 | 0.86 | 74.7 | 74% |
| 2023 | 17 | 0.88 | 70.8 | 74% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| Games of the Future: CS2 | 7 | 0.76 | 54.1 | 63% |
| OMEN Roman Imperium Cup I | 7 | 0.83 | 70.2 | 67% |
| Master League Portugal Season 15 | 5 | 0.86 | 74.7 | 74% |
| Master League Portugal Season 12 CS2 | 10 | 0.83 | 66.5 | 74% |
| Circuito Omen Retake Season 7, Take #3 | 7 | 0.97 | 77.5 | 74% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
