Name history
| 레 후 | |
| 궗1릻둟긿 | |
| 레 프 | |
| Z10 Breadgirl | |
| 클라이브도 훈도시가 입고싶어 | |
| 핑크 무지개 훈도시 리로이 | |
| 빵쟁이03 | |
| Yamiko Jin | |
| 쌍도레후 | |
| 레11프 | |
| 진짜한이유 | |
| 공주가되고싶어요 | |
| 너 존나못하잖아 | |
| 승리를잊어버린사람 |
| 레 후 vs Kazuya | 248–235 | 51.35% |
| 레 후 vs Hwoarang | 229–217 | 51.35% |
| 레 후 vs Bryan | 231–181 | 56.07% |
| 레 후 vs Dragunov | 195–185 | 51.32% |
| 레 후 vs Jin | 186–158 | 54.07% |
| 레 후 vs Steve | 168–145 | 53.67% |
| 레 후 vs Paul | 172–128 | 57.33% |
| 레 후 vs Clive | 153–115 | 57.09% |
| 레 후 vs King | 126–137 | 47.91% |
| 레 후 vs Asuka | 110–136 | 44.72% |
| 레 후 vs Reina | 110–129 | 46.03% |
| 레 후 vs Devil Jin | 122–116 | 51.26% |
| 레 후 vs Heihachi | 112–115 | 49.34% |
| 레 후 vs Fahkumram | 119–107 | 52.65% |
| 레 후 vs Lee | 84–117 | 41.79% |
| 레 후 vs Lars | 82–110 | 42.71% |
| 레 후 vs Jun | 107–77 | 58.15% |
| 레 후 vs Claudio | 107–73 | 59.44% |
| 레 후 vs Victor | 103–76 | 57.54% |
| 레 후 vs Lidia | 90–88 | 50.56% |
| 레 후 vs Law | 92–83 | 52.57% |
| 레 후 vs Jack-8 | 87–88 | 49.71% |
| 레 후 vs Yoshimitsu | 76–83 | 47.80% |
| 레 후 vs Feng | 70–84 | 45.45% |
| 레 후 vs Leroy | 75–72 | 51.02% |
| 레 후 vs Leo | 80–66 | 54.79% |
| 레 후 vs Azucena | 90–56 | 61.64% |
| 레 후 vs Lili | 64–78 | 45.07% |
| 레 후 vs Shaheen | 77–65 | 54.23% |
| 레 후 vs Armor King | 66–65 | 50.38% |
| 레 후 vs Anna | 58–64 | 47.54% |
| 레 후 vs Raven | 50–63 | 44.25% |
| 레 후 vs Nina | 53–58 | 47.75% |
| 레 후 vs Eddy | 52–55 | 48.60% |
| 레 후 vs Miary Zo | 51–47 | 52.04% |
| 레 후 vs Alisa | 50–42 | 54.35% |
| 레 후 vs Xiaoyu | 31–45 | 40.79% |
| 레 후 vs Kuma | 31–42 | 42.47% |
| 레 후 vs Zafina | 26–28–1 | 48.15% |
| 레 후 vs Panda | 18–23 | 43.90% |
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.