Player
RuStY
Bleed13Clutches won
1v3Best clutch won
0.97Rating
51Maps
0.96K/D
73.1ADR
56%HS
72%KAST
0–0Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| ancient | 15 | 0.96 | 73.6 |
| overpass | 13 | 0.93 | 66.7 |
| inferno | 6 | 0.93 | 64.0 |
| mirage | 6 | 1.13 | 83.2 |
| anubis | 4 | 0.75 | 74.1 |
| vertigo | 4 | 1.37 | 85.2 |
| nuke | 3 | 0.79 | 80.2 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| BIG | inferno | 7–17 | 42.2 |
| Verdant | ancient | 11–18 | 56.5 |
| Verdant | overpass | 12–13 | 60.4 |
| Verdant | anubis | 9–14 | 81.6 |
| SAMPI | overpass | 14–17 | 59.2 |
| SAMPI | ancient | 19–17 | 81.1 |
| ENDPOINT | ancient | 10–15 | 63.8 |
| ENDPOINT | mirage | 18–16 | 85.6 |
| ENDPOINT | inferno | 12–12 | 59.5 |
| Permitta | overpass | 10–18 | 52.2 |
| Permitta | anubis | 11–15 | 65.3 |
| Bleed Esports | ancient | 15–14 | 89.1 |
| Bleed Esports | inferno | 6–15 | 48.4 |
| Sangal Esports | vertigo | 19–12 | 93.2 |
| Sangal Esports | mirage | 17–15 | 86.4 |
| Gucci Academy | overpass | 9–18 | 52.4 |
| Gucci Academy | ancient | 12–14 | 64.5 |
| Sprout | inferno | 19–15 | 67.6 |
| Sprout | overpass | 6–12 | 32.1 |
| Sprout | ancient | 14–13 | 76.5 |
Team history
| Team | Maps | Period |
|---|---|---|
| Bleed | 1 | 2024-04 – 2024-04 |
 Johnny Speeds | 3 | 2024-04 – 2024-04 |
| Godsent | 11 | 2024-02 – 2024-03 |
 Metizport | 36 | 2023-10 – 2023-11 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2024 | 15 | 0.88 | 67.7 | 70% |
| 2023 | 36 | 1.00 | 75.4 | 73% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| YaLLa Compass Spring 2024 | 7 | 1.00 | 75.4 | 73% |
| United21 Season14 | 3 | 0.74 | 64.6 | 73% |
| European Pro League Season 14 | 4 | 0.90 | 64.3 | 64% |
| Compass Fall 2023 | 11 | 0.97 | 75.4 | 73% |
| A1 Gaming League Season 7 | 9 | 0.87 | 66.9 | 70% |
| CCT East Europe Series 4 | 7 | 1.15 | 79.8 | 77% |
| CCT East Europe Series 3 | 9 | 1.08 | 81.6 | 73% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
