Name history
| 파쿰람러버 | |
| 리디아사기캐 | |
| 아 몰라 질러잇 ! | |
| 아몰라 질러! | |
| 똑같이따라하기 | |
| 게임혼자하기 | |
| 오버히어 | |
| 미래예지 | |
| 아드레날린주체못함 | |
| 모르면맞아야죠 | |
| 우주그레이트존잘그타 |
| 파쿰람러버 vs Kazuya | 157–125 | 55.67% |
| 파쿰람러버 vs Bryan | 150–121 | 55.35% |
| 파쿰람러버 vs Dragunov | 124–126 | 49.60% |
| 파쿰람러버 vs Jin | 125–116 | 51.87% |
| 파쿰람러버 vs Heihachi | 121–113 | 51.71% |
| 파쿰람러버 vs Paul | 119–85 | 58.33% |
| 파쿰람러버 vs Hwoarang | 104–79 | 56.83% |
| 파쿰람러버 vs Reina | 96–86 | 52.75% |
| 파쿰람러버 vs King | 94–87 | 51.93% |
| 파쿰람러버 vs Steve | 97–82 | 54.19% |
| 파쿰람러버 vs Asuka | 76–79 | 49.03% |
| 파쿰람러버 vs Clive | 87–61 | 58.78% |
| 파쿰람러버 vs Victor | 64–57 | 52.89% |
| 파쿰람러버 vs Anna | 59–57 | 50.86% |
| 파쿰람러버 vs Law | 52–57 | 47.71% |
| 파쿰람러버 vs Claudio | 67–42 | 61.47% |
| 파쿰람러버 vs Feng | 48–59 | 44.86% |
| 파쿰람러버 vs Lili | 55–46 | 54.46% |
| 파쿰람러버 vs Lars | 53–47 | 53.00% |
| 파쿰람러버 vs Devil Jin | 44–54 | 44.90% |
| 파쿰람러버 vs Jack-8 | 41–46 | 47.13% |
| 파쿰람러버 vs Jun | 53–33 | 61.63% |
| 파쿰람러버 vs Yoshimitsu | 44–41 | 51.76% |
| 파쿰람러버 vs Fahkumram | 55–30 | 64.71% |
| 파쿰람러버 vs Nina | 39–39 | 50.00% |
| 파쿰람러버 vs Azucena | 35–35 | 50.00% |
| 파쿰람러버 vs Xiaoyu | 28–41 | 40.58% |
| 파쿰람러버 vs Leo | 36–33 | 52.17% |
| 파쿰람러버 vs Lee | 31–34 | 47.69% |
| 파쿰람러버 vs Alisa | 34–27 | 55.74% |
| 파쿰람러버 vs Lidia | 21–40 | 34.43% |
| 파쿰람러버 vs Leroy | 30–24 | 55.56% |
| 파쿰람러버 vs Zafina | 19–28 | 40.43% |
| 파쿰람러버 vs Shaheen | 15–26 | 36.59% |
| 파쿰람러버 vs Eddy | 18–16 | 52.94% |
| 파쿰람러버 vs Kuma | 13–16 | 44.83% |
| 파쿰람러버 vs Raven | 18–10 | 64.29% |
| 파쿰람러버 vs Panda | 9–15 | 37.50% |
| 파쿰람러버 vs Miary Zo | 14–7 | 66.67% |
| 파쿰람러버 vs Armor King | 4–15 | 21.05% |
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.