Player
13Clutches won
1v4Best clutch won
1.03Rating
34Maps
1.05K/D
87.6ADR
56%HS
72%KAST
107–89Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| mirage | 10 | 1.45 | 101.7 |
| ancient | 7 | 0.82 | 78.1 |
| dust2 | 7 | 1.15 | 86.7 |
| inferno | 6 | 0.74 | 72.8 |
| nuke | 3 | 0.90 | 72.2 |
| cache | 1 | 1.45 | 168.2 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| Bestia Academy | ancient | 9–18 | 60.5 |
| Bestia Academy | nuke | 12–18 | 56.1 |
| QUINTESSÊNCIA | cache | 16–11 | 168.2 |
| QUINTESSÊNCIA | ancient | 14–10 | 103.3 |
| ODDIK | dust2 | 10–12 | 65.8 |
| ODDIK | ancient | 24–23 | 86.3 |
| ALKA | ancient | 9–15 | 56.0 |
| ALKA | nuke | 14–17 | 66.0 |
| ALKA | mirage | 20–8 | 110.4 |
| MIBR Academy | dust2 | 11–10 | 63.2 |
| MIBR Academy | mirage | 25–10 | 107.6 |
| MIBR Academy | nuke | 29–26 | 85.7 |
| largadosypelados | dust2 | 25–22 | 93.7 |
| largadosypelados | mirage | 24–17 | 96.9 |
| largadosypelados | inferno | 7–15 | 58.1 |
| QUINTESSÊNCIA | ancient | 14–9 | 107.8 |
| QUINTESSÊNCIA | mirage | 21–17 | 76.7 |
| QUINTESSÊNCIA | dust2 | 28–18 | 124.8 |
| ALZON | dust2 | 0–1 | 56.0 |
| ALZON | mirage | 14–14 | 90.0 |
Team history
| Team | Maps | Period |
|---|---|---|
 RED Canids Academy | 34 | 2025-12 – 2026-08 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 28 | 1.05 | 88.2 | 72% |
| 2025 | 6 | 0.96 | 84.9 | 72% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| Gamers Club Liga Série A: August 2026 | 4 | 0.97 | 95.1 | 66% |
| Gamers Club Liga Série A: July 2026 | 2 | 0.93 | 78.2 | 75% |
| Gamers Club Liga Série A: June 2026 | 6 | 1.13 | 81.8 | 77% |
| Gamers Club Serie A: May 2026 | 6 | 1.15 | 93.6 | 72% |
| Liga Gamers Club Série A 2026 March | 3 | 0.86 | 79.2 | 70% |
| Liga Gamers Club Série A 2026 February | 5 | 1.17 | 100.3 | 77% |
| Liga Gamers Club Série A 2026 January | 2 | 0.44 | 55.0 | 47% |
| Liga Gamers Club Série A 2025 December | 6 | 0.96 | 84.9 | 72% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
