Player
cheeseball
FURY9Clutches won
1v3Best clutch won
0.80Rating
46Maps
0.78K/D
69.9ADR
53%HS
68%KAST
61–85Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| nuke | 12 | 0.78 | 75.2 |
| inferno | 9 | 0.80 | 67.0 |
| dust2 | 7 | 0.68 | 64.7 |
| ancient | 6 | 0.87 | 73.7 |
| overpass | 4 | 0.69 | 65.7 |
| train | 4 | 0.79 | 64.9 |
| anubis | 4 | 0.87 | 71.7 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| MARKnLARRY | dust2 | 13–16 | 81.6 |
| MARKnLARRY | inferno | 12–9 | 55.8 |
| MARKnLARRY | nuke | 9–18 | 101.3 |
| Skele | nuke | 10–16 | 50.3 |
| Skele | dust2 | 5–17 | 40.8 |
| Skele | inferno | 12–16 | 67.6 |
| Rooster | nuke | 21–16 | 93.9 |
| Rooster | overpass | 10–15 | 74.4 |
| Mindfreak | inferno | 10–13 | 70.8 |
| Mindfreak | nuke | 5–12 | 54.9 |
| Rooster | overpass | 7–12 | 41.8 |
| Rooster | train | 9–14 | 77.6 |
| Ground Zero Gaming | inferno | 8–13 | 47.2 |
| Ground Zero Gaming | ancient | 18–15 | 78.7 |
| Rooster | overpass | 5–15 | 65.7 |
| LELUX | ancient | 13–13 | 74.0 |
| LELUX | nuke | 10–17 | 62.8 |
| LELUX | dust2 | 10–17 | 46.5 |
| Ground Zero Gaming | nuke | 9–12 | 93.1 |
| KZG | nuke | 14–24 | 60.7 |
Team history
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 6 | 0.72 | 67.3 | 68% |
| 2025 | 40 | 0.81 | 70.4 | 68% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 51 - Cup #4 Oceania | 6 | 0.72 | 67.3 | 68% |
| DFRAG Open Series - Series 2 | 2 | 1.07 | 84.4 | 73% |
| CCT Season 3 Oceania Series 3 | 2 | 0.68 | 62.1 | 52% |
| ESL Challenger League Season 50 - Cup #4 Oceania | 4 | 0.80 | 61.3 | 66% |
| ESL Challenger League Season 50 - Cup #3 Oceania | 4 | 0.69 | 62.6 | 66% |
| ESL Challenger League Season 50 - Cup #2 Oceania | 5 | 0.84 | 68.6 | 68% |
| CCT Season 3 Oceania Series 2 | 9 | 0.81 | 76.6 | 63% |
| CCT Season 3 Oceania Series 1 | 8 | 0.79 | 77.0 | 74% |
| Dfrag Invitational 2025: Closed Qualifier | 6 | 0.84 | 63.8 | 72% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
