Spieler
SolGoat
ex-Aether3Gewonnene Clutches
1v1Bester Clutch
0.79Rating
30Maps
0.77K/D
64.9ADR
51%HS
68%KAST
50–64Eröffnungsduelle
Nach Map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| dust2 | 8 | 0.80 | 66.8 |
| ancient | 7 | 0.84 | 70.5 |
| mirage | 6 | 0.87 | 70.3 |
| nuke | 5 | 0.56 | 51.0 |
| anubis | 3 | 0.74 | 58.6 |
| inferno | 1 | 0.41 | 46.2 |
Letzte 20 Maps
| Gegner | Map | K–D | ADR |
|---|---|---|---|
| Legacy Kingdom | inferno | 7–17 | 46.2 |
| Legacy Kingdom | nuke | 1–14 | 16.4 |
| Tsunami Esports | dust2 | 10–16 | 64.6 |
| Tsunami Esports | anubis | 2–13 | 41.7 |
| Lotus FE | anubis | 10–8 | 56.1 |
| Lotus FE | ancient | 14–15 | 87.7 |
| Getting Info | ancient | 9–19 | 52.8 |
| Getting Info | mirage | 8–14 | 59.2 |
| Nouns | mirage | 3–14 | 20.1 |
| Nouns | dust2 | 6–14 | 48.3 |
| Homyno | dust2 | 14–18 | 83.4 |
| Homyno | mirage | 35–29 | 82.3 |
| DETONATE | dust2 | 12–11 | 71.1 |
| DETONATE | ancient | 12–16 | 62.5 |
| Dangerous | dust2 | 16–9 | 89.6 |
| Dangerous | mirage | 17–15 | 84.7 |
| Limitless | dust2 | 24–29 | 74.9 |
| Limitless | nuke | 9–14 | 60.1 |
| Akimbo | ancient | 13–18 | 56.3 |
| Akimbo | mirage | 6–14 | 49.9 |
Team-Historie
| Team | Maps | Zeitraum |
|---|---|---|
| ex-Aether | 2 | 2025-10 – 2025-10 |
| Team Aether | 21 | 2024-08 – 2025-01 |
| Victorum | 4 | 2024-07 – 2024-07 |
 Wanted Goons | 3 | 2024-03 – 2024-03 |
Karriere nach Jahren
| Jahr | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2025 | 8 | 0.56 | 55.3 | 61% |
| 2024 | 22 | 0.86 | 67.5 | 70% |
Rating nach Turnier
| Turnier | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 50 - Cup #3 North America | 2 | 0.25 | 33.5 | 45% |
| Champion of Champions Tour Season 2 - North America Series 4 | 6 | 0.65 | 62.0 | 66% |
| Champion of Champions Tour Season 2 - North America Series 3 | 13 | 0.85 | 68.0 | 70% |
| Champion of Champions Tour Season 2 - North America Series 2 | 6 | 0.74 | 60.7 | 63% |
| Fragadelphia CS:DO | 3 | 1.16 | 79.4 | 82% |
ADR und KAST berechnen wir selbst aus den Rundendaten. Das Rating berechnen wir selbst aus den Rundendaten (1.0-Formel).
