Name history
| ARANG | |
| TA_Arang | |
| SUNRISE_ | |
| 풍신류 러버 | |
| 진 초보예요 제발 봐줘 성님 | |
| 카즈야 연습 | |
| 방어 연습중 | |
| 한판튀 하면 푸씨 | |
| 왜 나한테 그렇게 엄격한건대 | |
| 왜 나한테 이렇게 엄격한건대 | |
| APDO | |
| 땅콩카라멜은 이를 아프게한다 | |
| 땅콜카라멜 먹으면 이가아파 | |
| 돌고 돌아 결국 드라구노프 | |
| 데빌진 꿈나무 | |
| DR ROP 93 | |
| Rop1993 |
| ARANG vs Kazuya | 116–123 | 48.54% |
| ARANG vs Hwoarang | 124–84 | 59.62% |
| ARANG vs Paul | 84–109 | 43.52% |
| ARANG vs Reina | 100–85 | 54.05% |
| ARANG vs Dragunov | 88–86 | 50.57% |
| ARANG vs Jin | 76–93 | 44.97% |
| ARANG vs King | 77–87 | 46.95% |
| ARANG vs Bryan | 74–83 | 47.13% |
| ARANG vs Asuka | 71–82 | 46.41% |
| ARANG vs Lili | 72–71 | 50.35% |
| ARANG vs Steve | 59–71 | 45.38% |
| ARANG vs Victor | 55–61 | 47.41% |
| ARANG vs Law | 53–54 | 49.53% |
| ARANG vs Heihachi | 47–43 | 52.22% |
| ARANG vs Yoshimitsu | 39–46 | 45.88% |
| ARANG vs Leroy | 27–52 | 34.18% |
| ARANG vs Azucena | 29–44 | 39.73% |
| ARANG vs Devil Jin | 27–45 | 37.50% |
| ARANG vs Nina | 29–40 | 42.03% |
| ARANG vs Alisa | 35–33 | 51.47% |
| ARANG vs Lars | 23–41 | 35.94% |
| ARANG vs Jun | 28–36 | 43.75% |
| ARANG vs Feng | 20–43 | 31.75% |
| ARANG vs Lee | 31–27 | 53.45% |
| ARANG vs Shaheen | 28–28 | 50.00% |
| ARANG vs Xiaoyu | 24–31 | 43.64% |
| ARANG vs Leo | 18–37 | 32.73% |
| ARANG vs Claudio | 19–30 | 38.78% |
| ARANG vs Clive | 24–22 | 52.17% |
| ARANG vs Eddy | 24–21 | 53.33% |
| ARANG vs Kuma | 9–30 | 23.08% |
| ARANG vs Raven | 16–21 | 43.24% |
| ARANG vs Jack-8 | 18–18 | 50.00% |
| ARANG vs Zafina | 11–15 | 42.31% |
| ARANG vs Lidia | 9–14 | 39.13% |
| ARANG vs Panda | 6–6 | 50.00% |
| ARANG vs Fahkumram | 4–5 | 44.44% |
| ARANG vs Anna | 4–4 | 50.00% |
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.