Spieler
Rafex
klanpedrajas12Gewonnene Clutches
1v3Bester Clutch
1.00Rating
36Maps
0.99K/D
79.2ADR
63%HS
71%KAST
41–44Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 10 | 0.92 | 73.5 |
| inferno | 7 | 0.97 | 77.3 |
| dust2 | 6 | 1.37 | 96.8 |
| nuke | 5 | 1.00 | 80.8 |
| anubis | 5 | 0.96 | 83.2 |
| mirage | 2 | 0.88 | 68.8 |
| overpass | 1 | 0.53 | 69.0 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Team KZ | ancient | 14–14 | 82.5 |
| Team KZ | dust2 | 10–13 | 57.3 |
| Mirage Team | inferno | 10–7 | 72.4 |
| Mirage Team | ancient | 1–0 | 91.0 |
| Liga Pro Team | dust2 | 0–0 | 0.0 |
| Liga Pro Team | dust2 | 26–20 | 102.8 |
| Liga Pro Team | inferno | 15–16 | 92.9 |
| Iberian Soul | nuke | 11–15 | 63.2 |
| Iberian Soul | overpass | 8–15 | 69.0 |
| skout | dust2 | 19–13 | 122.0 |
| skout | ancient | 17–5 | 103.9 |
| DESEMPREGO | nuke | 15–13 | 80.2 |
| DESEMPREGO | dust2 | 20–15 | 80.0 |
| skout | dust2 | 17–6 | 120.0 |
| EXSAD Gaming | anubis | 14–15 | 75.1 |
| EXSAD Gaming | inferno | 16–13 | 73.1 |
| EXSAD Gaming | ancient | 45–44 | 72.3 |
| SweetBonanzers | ancient | 6–17 | 57.9 |
| Talaintanse | nuke | 21–13 | 107.5 |
| Los Alpacas | inferno | 8–13 | 60.1 |
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 | 1.12 | 85.0 | 79% |
| 2025 | 7 | 1.21 | 89.6 | 76% |
| 2024 | 5 | 1.05 | 76.3 | 66% |
| 2023 | 17 | 0.88 | 75.3 | 69% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| Games of the Future: CS2 | 7 | 1.12 | 85.0 | 79% |
| OMEN Roman Imperium Cup I | 7 | 1.21 | 89.6 | 76% |
| Master League Portugal Season 15 | 5 | 1.05 | 76.3 | 66% |
| Master League Portugal Season 12 CS2 | 10 | 0.80 | 72.1 | 68% |
| Circuito Omen Retake Season 7, Take #3 | 7 | 1.02 | 80.2 | 71% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
