Spieler
19Gewonnene Clutches
1v3Bester Clutch
0.90Rating
40Maps
0.89K/D
68.4ADR
47%HS
66%KAST
47–45Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| inferno | 9 | 0.85 | 64.8 |
| ancient | 8 | 0.84 | 70.9 |
| anubis | 7 | 0.92 | 67.9 |
| cache | 7 | 1.01 | 73.1 |
| nuke | 4 | 1.13 | 77.4 |
| mirage | 4 | 0.58 | 54.1 |
| dust2 | 1 | 0.85 | 76.6 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| HACHA | nuke | 18–14 | 66.1 |
| HACHA | inferno | 17–16 | 86.6 |
| HACHA | ancient | 12–13 | 81.7 |
| A NATA | ancient | 17–11 | 83.8 |
| A NATA | inferno | 13–11 | 70.2 |
| QUINTESSÊNCIA | mirage | 11–16 | 66.3 |
| QUINTESSÊNCIA | anubis | 10–12 | 47.4 |
| ALIANZA LIMA | cache | 15–11 | 77.6 |
| ALIANZA LIMA | inferno | 13–22 | 48.4 |
| FLA Esports | ancient | 15–17 | 76.5 |
| FLA Esports | inferno | 13–18 | 70.1 |
| FLA Esports | cache | 13–15 | 64.2 |
| MIBR Female | anubis | 11–17 | 60.6 |
| MIBR Female | cache | 26–8 | 127.9 |
| MIBR Female | ancient | 14–16 | 75.1 |
| Bounty Hunters Esports | cache | 15–18 | 77.5 |
| Bounty Hunters Esports | mirage | 12–13 | 68.5 |
| BORRACHEIROS | anubis | 8–14 | 63.3 |
| BORRACHEIROS | nuke | 12–13 | 86.8 |
| Bestia Academy | inferno | 14–13 | 81.8 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
 Damajuana | 40 | 2026-02 – 2026-10 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 40 | 0.90 | 68.4 | 66% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT 2026 South America Series 7 | 9 | 0.98 | 69.0 | 70% |
| CCT 2026 South America Series 6 | 8 | 0.98 | 77.0 | 70% |
| ESL Challenger League Season 52 - Cup #2 South America | 2 | 0.90 | 73.4 | 69% |
| CCT 2026 South America Series 5 | 6 | 0.87 | 69.1 | 69% |
| CCT 2026 Challengers South America Series 2 | 3 | 0.69 | 63.2 | 53% |
| CCT 2026 South America Series 1 | 8 | 0.92 | 63.7 | 65% |
| CCT Season 3 South America Series 9 | 4 | 0.59 | 58.5 | 57% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
