Name history
| 콤보까먹음 | |
| 마비노기모바일정상영업합니다 | |
| 저는착한사람입니다 | |
| 말할거있숴 | |
| 방어만하다죽는나 | |
| 난는잉어 | |
| 수비적으로하면호구 | |
| 기가스출시기원 | |
| 김개미77 |
| 콤보까먹음 vs Kazuya | 113–69 | 62.09% |
| 콤보까먹음 vs Hwoarang | 100–67 | 59.88% |
| 콤보까먹음 vs Bryan | 89–64 | 58.17% |
| 콤보까먹음 vs Dragunov | 87–48 | 64.44% |
| 콤보까먹음 vs Paul | 84–35 | 70.59% |
| 콤보까먹음 vs Jin | 69–48 | 58.97% |
| 콤보까먹음 vs Lars | 46–53 | 46.46% |
| 콤보까먹음 vs King | 55–40 | 57.89% |
| 콤보까먹음 vs Fahkumram | 66–25 | 72.53% |
| 콤보까먹음 vs Steve | 56–28 | 66.67% |
| 콤보까먹음 vs Clive | 39–40 | 49.37% |
| 콤보까먹음 vs Jack-8 | 30–43 | 41.10% |
| 콤보까먹음 vs Reina | 45–26 | 63.38% |
| 콤보까먹음 vs Azucena | 33–38 | 46.48% |
| 콤보까먹음 vs Law | 41–27 | 60.29% |
| 콤보까먹음 vs Jun | 37–30 | 55.22% |
| 콤보까먹음 vs Lee | 31–32 | 49.21% |
| 콤보까먹음 vs Armor King | 35–28 | 55.56% |
| 콤보까먹음 vs Devil Jin | 34–28 | 54.84% |
| 콤보까먹음 vs Claudio | 35–26 | 57.38% |
| 콤보까먹음 vs Anna | 31–30 | 50.82% |
| 콤보까먹음 vs Asuka | 38–18 | 67.86% |
| 콤보까먹음 vs Feng | 37–19 | 66.07% |
| 콤보까먹음 vs Heihachi | 29–25 | 53.70% |
| 콤보까먹음 vs Alisa | 26–27 | 49.06% |
| 콤보까먹음 vs Lidia | 23–30 | 43.40% |
| 콤보까먹음 vs Victor | 36–16 | 69.23% |
| 콤보까먹음 vs Lili | 27–24 | 52.94% |
| 콤보까먹음 vs Yoshimitsu | 32–18 | 64.00% |
| 콤보까먹음 vs Shaheen | 28–20 | 58.33% |
| 콤보까먹음 vs Leroy | 24–22 | 52.17% |
| 콤보까먹음 vs Nina | 24–21 | 53.33% |
| 콤보까먹음 vs Leo | 21–21 | 50.00% |
| 콤보까먹음 vs Xiaoyu | 19–20 | 48.72% |
| 콤보까먹음 vs Raven | 21–13 | 61.76% |
| 콤보까먹음 vs Kuma | 14–14 | 50.00% |
| 콤보까먹음 vs Panda | 13–11 | 54.17% |
| 콤보까먹음 vs Eddy | 13–9 | 59.09% |
| 콤보까먹음 vs Zafina | 4–13 | 23.53% |
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.