Player
19Clutches won
1v3Best clutch won
0.89Rating
76Maps
0.89K/D
71.0ADR
59%HS
69%KAST
100–133Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| nuke | 17 | 0.87 | 66.3 |
| mirage | 12 | 0.77 | 62.3 |
| dust2 | 12 | 0.84 | 69.1 |
| ancient | 12 | 0.87 | 73.4 |
| inferno | 10 | 0.95 | 69.3 |
| anubis | 10 | 0.98 | 83.4 |
| vertigo | 2 | 1.17 | 88.7 |
| overpass | 1 | 0.94 | 85.1 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| VeloX | inferno | 10–16 | 66.3 |
| VeloX | nuke | 6–5 | 51.4 |
| VeloX | anubis | 15–19 | 63.6 |
| Bounty Hunters Esports | mirage | 12–16 | 61.8 |
| Bounty Hunters Esports | dust2 | 9–14 | 50.5 |
| Fluxo | nuke | 9–9 | 64.5 |
| Fluxo | mirage | 4–18 | 34.8 |
| Fluxo | nuke | 15–15 | 78.9 |
| Fluxo | inferno | 12–14 | 50.0 |
| adalYamigos 2.0 | mirage | 12–12 | 79.4 |
| adalYamigos 2.0 | dust2 | 11–15 | 56.3 |
| adalYamigos 2.0 | nuke | 12–5 | 84.6 |
| 9z | anubis | 17–13 | 78.0 |
| 9z | ancient | 18–13 | 88.3 |
| 9z | nuke | 9–15 | 65.6 |
| UNO MILLE | anubis | 23–18 | 85.7 |
| UNO MILLE | nuke | 16–9 | 80.1 |
| 2070 | mirage | 12–13 | 63.0 |
| 2070 | nuke | 11–15 | 49.8 |
| 2070 | ancient | 17–18 | 79.3 |
Team history
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2025 | 46 | 0.85 | 65.9 | 69% |
| 2024 | 23 | 0.97 | 79.6 | 69% |
| 2023 | 7 | 0.95 | 76.8 | 71% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| FiReLEAGUE 2025 South America South | 5 | 0.82 | 59.5 | 66% |
| Champion of Champions Tour Season 2 - South America Series 8 | 19 | 0.91 | 68.0 | 72% |
| Champion of Champions Tour Season 2 - South America Series 7 | 11 | 0.82 | 67.4 | 72% |
| Champion of Champions Tour Season 2 - South America Series 6 | 10 | 0.77 | 63.0 | 63% |
| Champion of Champions Tour Season 2 - South America Series 5 | 10 | 0.89 | 74.3 | 67% |
| Champion of Champions Tour Season 2 - South America Series 4 | 13 | 1.03 | 83.4 | 70% |
| EPL World Series: Americas Season 5 | 7 | 0.95 | 76.8 | 71% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
