Spieler
8Gewonnene Clutches
1v2Bester Clutch
0.80Rating
36Maps
0.77K/D
66.4ADR
57%HS
66%KAST
62–75Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| inferno | 8 | 0.82 | 68.0 |
| cache | 7 | 0.80 | 65.8 |
| anubis | 7 | 0.75 | 62.2 |
| ancient | 6 | 0.60 | 61.4 |
| mirage | 4 | 0.85 | 68.8 |
| nuke | 3 | 0.85 | 80.6 |
| dust2 | 1 | 0.67 | 64.3 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| your end | ancient | 2–14 | 31.8 |
| your end | inferno | 9–14 | 48.4 |
| your end | cache | 14–14 | 73.0 |
| FLA Esports | ancient | 16–17 | 78.6 |
| FLA Esports | inferno | 23–17 | 88.7 |
| FLA Esports | cache | 9–16 | 55.3 |
| MIBR Female | anubis | 8–14 | 58.0 |
| MIBR Female | cache | 13–12 | 84.7 |
| MIBR Female | ancient | 12–20 | 65.1 |
| Bounty Hunters Esports | cache | 13–16 | 54.3 |
| Bounty Hunters Esports | mirage | 8–15 | 46.0 |
| BORRACHEIROS | anubis | 6–12 | 50.9 |
| BORRACHEIROS | nuke | 11–13 | 97.3 |
| Bestia Academy | inferno | 15–15 | 72.1 |
| Bestia Academy | cache | 19–16 | 73.1 |
| Zetta Games | anubis | 13–10 | 84.8 |
| Zetta Games | cache | 7–12 | 61.9 |
| PaiN Gaming Academy | nuke | 17–14 | 89.1 |
| PaiN Gaming Academy | mirage | 12–13 | 76.6 |
| BORRACHEIROS | anubis | 3–13 | 35.9 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
 Damajuana | 36 | 2026-02 – 2026-10 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 36 | 0.80 | 66.4 | 66% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT 2026 South America Series 7 | 3 | 0.63 | 53.4 | 65% |
| CCT 2026 South America Series 6 | 8 | 0.85 | 71.9 | 70% |
| ESL Challenger League Season 52 - Cup #2 South America | 2 | 0.66 | 50.5 | 60% |
| CCT 2026 South America Series 5 | 9 | 0.94 | 70.9 | 67% |
| CCT 2026 Challengers South America Series 2 | 3 | 0.74 | 63.3 | 60% |
| CCT 2026 South America Series 1 | 7 | 0.78 | 68.5 | 68% |
| CCT Season 3 South America Series 9 | 4 | 0.71 | 61.3 | 57% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
