Player
10Clutches won
1v5Best clutch won
0.99Rating
38Maps
1.03K/D
72.9ADR
50%HS
74%KAST
60–65Opening duels
By map
| Map | Maps | K/D | ADR |
|---|---|---|---|
| dust2 | 13 | 1.22 | 79.7 |
| inferno | 9 | 0.78 | 70.8 |
| nuke | 5 | 1.06 | 72.9 |
| mirage | 4 | 1.27 | 70.7 |
| ancient | 4 | 0.77 | 56.3 |
| train | 2 | 1.23 | 84.3 |
| anubis | 1 | 0.56 | 53.5 |
Last 20 maps
| Opponent | Map | K–D | ADR |
|---|---|---|---|
| 1w Team | dust2 | 12–14 | 52.1 |
| 1w Team | inferno | 8–10 | 59.3 |
| Monte | train | 14–13 | 69.5 |
| Monte | mirage | 5–10 | 33.0 |
| 9BOOMPRO | mirage | 14–8 | 79.0 |
| 9BOOMPRO | nuke | 11–14 | 62.1 |
| 9BOOMPRO | dust2 | 17–13 | 75.4 |
| Nemiga Gaming | ancient | 12–14 | 57.0 |
| Nemiga Gaming | train | 18–13 | 100.0 |
| Nemiga Gaming | dust2 | 22–13 | 96.3 |
| PARTIZAN | mirage | 25–22 | 73.8 |
| PARTIZAN | inferno | 4–17 | 56.4 |
| PARTIZAN | nuke | 17–13 | 83.0 |
| Eternal Fire | dust2 | 13–10 | 73.4 |
| Eternal Fire | inferno | 18–20 | 71.7 |
| Favbet Team | dust2 | 21–14 | 100.8 |
| Favbet Team | inferno | 10–15 | 87.5 |
| ESC Gaming | nuke | 9–11 | 66.8 |
| ESC Gaming | dust2 | 14–19 | 74.8 |
| LGCY | inferno | 9–15 | 51.6 |
Team history
| Team | Maps | Period |
|---|---|---|
 JiJieHao | 38 | 2025-04 – 2025-10 |
Career by year
| Year | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| 2025 | 38 | 0.99 | 72.9 | 74% |
Rating by event
| Event | Maps | Rating | ADR | KAST |
|---|---|---|---|---|
| ESL Challenger League Season 50 - Cup #4 Europe | 7 | 0.94 | 62.5 | 72% |
| ESL Challenger League Season 50 - Cup #3 Europe | 2 | 0.98 | 72.4 | 72% |
| Galaxy Battle Phase 4 | 6 | 1.04 | 77.1 | 72% |
| CCT Season 3 Europe Series 7 | 2 | 1.14 | 95.3 | 76% |
| ESL Challenger League Season 50 - Cup #2 Europe | 2 | 0.92 | 75.4 | 81% |
| CCT Season 3 Europe Series 6 | 2 | 0.79 | 71.6 | 68% |
| CCT Season 3 Europe Series 5 | 2 | 1.27 | 86.8 | 81% |
| Asian Champions League 2025 - CS | 11 | 0.97 | 70.5 | 76% |
| MESA Nomadic Masters: Spring 2025 | 3 | 1.02 | 75.9 | 75% |
ADR and KAST are our own calculations from round data. Rating is our calculation from round data (1.0 formula).
