Player
REGIANE
Atrix4Clutches won
1v2Best clutch won
0.76Rating
32Maps
0.73K/D
64.0ADR
52%HS
66%KAST
22–48Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| mirage | 8 | 0.66 | 61.4 |
| ancient | 7 | 0.61 | 61.8 |
| nuke | 5 | 0.83 | 71.9 |
| dust2 | 5 | 0.60 | 51.3 |
| inferno | 4 | 0.68 | 51.5 |
| anubis | 2 | 1.07 | 85.4 |
| overpass | 1 | 1.23 | 92.8 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| GUARA | nuke | 7–14 | 56.4 |
| GUARA | dust2 | 8–13 | 47.7 |
| LP | ancient | 2–14 | 57.6 |
| LP | mirage | 6–13 | 60.9 |
| Players | mirage | 10–17 | 70.5 |
| Players | ancient | 10–14 | 68.0 |
| Players | nuke | 20–15 | 84.9 |
| ShindeN | dust2 | 9–14 | 54.4 |
| ShindeN | ancient | 7–16 | 55.9 |
| KRU Esports | dust2 | 6–13 | 46.3 |
| KRU Esports | ancient | 8–15 | 56.9 |
| Nitro | mirage | 11–17 | 72.1 |
| Nitro | inferno | 3–15 | 18.5 |
| Tropa do Taco | dust2 | 6–13 | 43.3 |
| Tropa do Taco | mirage | 8–14 | 46.9 |
| FURIA fe | inferno | 1–16 | 12.3 |
| FURIA fe | mirage | 6–15 | 43.1 |
| FURIA fe | anubis | 12–14 | 88.8 |
| FURIA fe | dust2 | 10–12 | 62.5 |
| FURIA fe | ancient | 9–9 | 74.1 |
Team history
| Team | Maps | Period |
|---|---|---|
| Atrix | 13 | 2025-01 – 2026-03 |
| Atrix esports | 2 | 2025-01 – 2025-01 |
 MIBR Female | 9 | 2023-11 – 2024-09 |
 MIBR | 8 | 2023-11 – 2023-11 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 4 | 0.46 | 55.2 | 58% |
| 2025 | 11 | 0.65 | 58.2 | 58% |
| 2024 | 8 | 0.78 | 60.4 | 72% |
| 2023 | 9 | 0.96 | 75.6 | 73% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 51 - Cup #2 South America | 4 | 0.46 | 55.2 | 58% |
| Champion of Champions Tour Season 2 - South America Series 7 | 7 | 0.71 | 63.9 | 63% |
| Champion of Champions Tour Season 2 - South America Series 6 | 4 | 0.54 | 47.2 | 47% |
| Super Copa Feminina 2024 | 8 | 0.78 | 60.4 | 72% |
| Gamers Club Masters Feminina VIII | 9 | 0.96 | 75.6 | 73% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
