Player
Miami
Last Bullet13Clutches won
1v3Best clutch won
0.97Rating
36Maps
0.96K/D
75.8ADR
60%HS
70%KAST
55–60Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| dust2 | 8 | 1.04 | 77.0 |
| mirage | 8 | 0.98 | 83.4 |
| ancient | 7 | 0.96 | 78.9 |
| inferno | 7 | 0.89 | 67.5 |
| nuke | 5 | 0.75 | 63.8 |
| overpass | 1 | 1.83 | 104.9 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| Just Swing | ancient | 22–17 | 107.7 |
| Just Swing | dust2 | 16–13 | 82.0 |
| Just Swing | nuke | 14–16 | 71.1 |
| ARISE | mirage | 31–35 | 80.6 |
| ARISE | dust2 | 16–11 | 79.2 |
| BMZ | ancient | 9–17 | 75.5 |
| BMZ | dust2 | 15–16 | 75.4 |
| BMZ | mirage | 23–18 | 78.7 |
| NEXVOID | nuke | 7–17 | 57.4 |
| NEXVOID | inferno | 18–18 | 85.5 |
| NEXVOID | dust2 | 25–11 | 109.2 |
| Morningstar | ancient | 10–13 | 64.2 |
| Morningstar | mirage | 11–17 | 63.3 |
| Boring Players | ancient | 14–13 | 68.5 |
| Boring Players | dust2 | 11–16 | 57.4 |
| Boring Players | nuke | 9–17 | 66.0 |
| Kaleido Gaming | ancient | 27–23 | 87.4 |
| Kaleido Gaming | inferno | 7–14 | 38.6 |
| Kaleido Gaming | mirage | 22–18 | 93.8 |
| FengDa | mirage | 17–20 | 108.5 |
Team history
| Team | Maps | Period |
|---|---|---|
| Last Bullet | 30 | 2025-09 – 2026-04 |
| 6 | 2025-08 – 2025-08 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2026 | 13 | 1.03 | 80.0 | 71% |
| 2025 | 23 | 0.94 | 73.4 | 69% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 51 - Cup #4 Asia | 8 | 1.06 | 81.4 | 75% |
| ESL Challenger League Season 51 - Cup #3 Asia | 3 | 1.11 | 84.5 | 66% |
| ESL Challenger League Season 51 - Cup #1 Asia | 2 | 0.69 | 63.7 | 61% |
| ESL Challenger League Season 50 - Cup #4 Asia | 6 | 0.87 | 71.2 | 67% |
| ESL Challenger League Season 50 - Cup #3 Asia | 5 | 1.08 | 86.1 | 72% |
| ESL Challenger League Season 50 - Cup #2 Asia | 6 | 0.90 | 69.0 | 65% |
| ESL Challenger League Season 50 - Cup #1 Asia | 6 | 0.95 | 70.9 | 73% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).