Player
13Clutches won
1v5Best clutch won
0.89Rating
37Maps
0.88K/D
68.7ADR
61%HS
73%KAST
60–66Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 10 | 0.98 | 71.6 |
| dust2 | 9 | 1.01 | 75.1 |
| mirage | 8 | 0.84 | 60.1 |
| nuke | 4 | 0.70 | 56.2 |
| cache | 3 | 1.11 | 90.3 |
| inferno | 2 | 0.44 | 57.5 |
| anubis | 1 | 0.64 | 68.9 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| BORRACHEIROS | ancient | 10–18 | 63.0 |
| BORRACHEIROS | anubis | 25–39 | 68.9 |
| Isurus | ancient | 14–15 | 72.3 |
| Isurus | cache | 22–26 | 65.1 |
| Bestia Academy | nuke | 12–16 | 61.9 |
| Bestia Academy | mirage | 11–17 | 49.5 |
| QUINTESSÊNCIA | ancient | 8–12 | 57.5 |
| QUINTESSÊNCIA | dust2 | 17–11 | 90.0 |
| ARK E-sports | dust2 | 13–14 | 85.6 |
| ARK E-sports | ancient | 10–6 | 92.4 |
| QUINTESSÊNCIA | cache | 12–9 | 72.1 |
| QUINTESSÊNCIA | ancient | 21–8 | 102.4 |
| ALKA | mirage | 11–15 | 65.3 |
| ALKA | dust2 | 14–10 | 100.6 |
| Bestia Academy | ancient | 9–13 | 59.0 |
| Bestia Academy | nuke | 9–14 | 53.6 |
| QUINTESSÊNCIA | cache | 17–11 | 149.9 |
| QUINTESSÊNCIA | ancient | 9–7 | 74.8 |
| ODDIK | dust2 | 6–13 | 45.5 |
| ODDIK | ancient | 24–23 | 95.5 |
Team history
| Team | Maps | Period |
|---|---|---|
 RED Canids Academy | 35 | 2026-04 – 2026-10 |
| Satriales | 2 | 2026-01 – 2026-01 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 37 | 0.89 | 68.7 | 73% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| CCT 2026 South America Series 7 | 10 | 0.83 | 69.4 | 77% |
| Gamers Club Liga Série A: September 2026 | 4 | 1.28 | 84.3 | 80% |
| Gamers Club Liga Série A: August 2026 | 4 | 0.93 | 84.0 | 79% |
| Gamers Club Liga Série A: July 2026 | 2 | 0.94 | 75.7 | 69% |
| Gamers Club Liga Série A: June 2026 | 6 | 0.87 | 63.1 | 68% |
| Gamers Club Serie A: May 2026 | 6 | 0.73 | 54.6 | 65% |
| Liga Gamers Club Série A 2026 March | 3 | 0.63 | 57.6 | 76% |
| CCT Season 3 South America Series 7 | 2 | 1.33 | 85.0 | 84% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
