Name history
| MONG | |
| KImmong | |
| 무한맵 노잼 | |
| Let's go | |
| 키보드에서 스틱으로 1일차 | |
| 모르니까 ㅈ같네 | |
| 머머리학대자 | |
| ROSE | |
| 클라 버프 기원 |
| MONG vs Kazuya | 558–589 | 48.65% |
| MONG vs Bryan | 563–558–1 | 50.22% |
| MONG vs Dragunov | 493–480 | 50.67% |
| MONG vs Paul | 437–413–1 | 51.41% |
| MONG vs Jin | 363–412–1 | 46.84% |
| MONG vs Armor King | 425–345 | 55.19% |
| MONG vs Hwoarang | 360–375 | 48.98% |
| MONG vs Heihachi | 366–353 | 50.90% |
| MONG vs Clive | 365–263 | 58.12% |
| MONG vs Reina | 352–275 | 56.14% |
| MONG vs Steve | 295–304 | 49.25% |
| MONG vs Devil Jin | 245–284 | 46.31% |
| MONG vs King | 262–260 | 50.19% |
| MONG vs Asuka | 205–272 | 42.98% |
| MONG vs Fahkumram | 229–234 | 49.46% |
| MONG vs Law | 198–242 | 45.00% |
| MONG vs Claudio | 203–211 | 49.03% |
| MONG vs Lidia | 199–209 | 48.77% |
| MONG vs Lili | 187–218 | 46.17% |
| MONG vs Feng | 191–212 | 47.39% |
| MONG vs Victor | 171–230 | 42.64% |
| MONG vs Lars | 179–218 | 45.09% |
| MONG vs Lee | 172–221 | 43.77% |
| MONG vs Jun | 164–199 | 45.18% |
| MONG vs Yoshimitsu | 149–182 | 45.02% |
| MONG vs Jack-8 | 112–212 | 34.57% |
| MONG vs Azucena | 133–165 | 44.63% |
| MONG vs Anna | 147–143 | 50.69% |
| MONG vs Nina | 107–177 | 37.68% |
| MONG vs Leo | 117–159 | 42.39% |
| MONG vs Miary Zo | 132–138 | 48.89% |
| MONG vs Shaheen | 113–155 | 42.16% |
| MONG vs Leroy | 116–152 | 43.28% |
| MONG vs Xiaoyu | 105–120 | 46.67% |
| MONG vs Alisa | 101–115 | 46.76% |
| MONG vs Eddy | 77–116 | 39.90% |
| MONG vs Zafina | 67–98 | 40.61% |
| MONG vs Kuma | 58–87 | 40.00% |
| MONG vs Raven | 43–81 | 34.68% |
| MONG vs Panda | 29–46 | 38.67% |
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.