Name history
| Gokgo | |
| 암컷킹. | |
| 잘고쳐보거라 | |
| DRX_Pannel | |
| 수영장못찾는곡고씨 | |
| 친구없어서철권합니다 | |
| 자핑이. | |
| 알1몸주짓수 | |
| 아스카가자미 | |
| 총리님은귀여워 | |
| EngMu | |
| 마스터 덜렁븐 | |
| 얼린감자 |
| Gokgo vs Dragunov | 128–119 | 51.82% |
| Gokgo vs Kazuya | 123–83 | 59.71% |
| Gokgo vs Bryan | 112–92 | 54.90% |
| Gokgo vs Paul | 85–94 | 47.49% |
| Gokgo vs Jin | 84–88 | 48.84% |
| Gokgo vs Steve | 89–81 | 52.35% |
| Gokgo vs Asuka | 83–67 | 55.33% |
| Gokgo vs Hwoarang | 81–53 | 60.45% |
| Gokgo vs Jun | 68–65 | 51.13% |
| Gokgo vs Heihachi | 62–68 | 47.69% |
| Gokgo vs Law | 74–53 | 58.27% |
| Gokgo vs King | 68–59 | 53.54% |
| Gokgo vs Lars | 59–68 | 46.46% |
| Gokgo vs Feng | 63–54 | 53.85% |
| Gokgo vs Lili | 58–59 | 49.57% |
| Gokgo vs Reina | 59–56 | 51.30% |
| Gokgo vs Victor | 60–50 | 54.55% |
| Gokgo vs Leroy | 63–46 | 57.80% |
| Gokgo vs Devil Jin | 62–45 | 57.94% |
| Gokgo vs Lee | 56–48 | 53.85% |
| Gokgo vs Jack-8 | 50–47 | 51.55% |
| Gokgo vs Nina | 42–49 | 46.15% |
| Gokgo vs Clive | 39–49 | 44.32% |
| Gokgo vs Azucena | 58–29 | 66.67% |
| Gokgo vs Claudio | 55–29 | 65.48% |
| Gokgo vs Lidia | 36–44 | 45.00% |
| Gokgo vs Alisa | 40–37 | 51.95% |
| Gokgo vs Raven | 32–45 | 41.56% |
| Gokgo vs Leo | 36–34 | 51.43% |
| Gokgo vs Yoshimitsu | 33–30 | 52.38% |
| Gokgo vs Kuma | 32–28 | 53.33% |
| Gokgo vs Shaheen | 35–24 | 59.32% |
| Gokgo vs Xiaoyu | 30–27 | 52.63% |
| Gokgo vs Zafina | 28–24 | 53.85% |
| Gokgo vs Anna | 24–18 | 57.14% |
| Gokgo vs Eddy | 15–25 | 37.50% |
| Gokgo vs Armor King | 23–16 | 58.97% |
| Gokgo vs Fahkumram | 15–11 | 57.69% |
| Gokgo vs Panda | 9–8 | 52.94% |
| Gokgo vs Miary Zo | 5–8 | 38.46% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.