Name history
KKOEM | |
김도윤. | |
70년생 천영훈의 라스트댄스 | |
천영훈. | |
-[]====> | |
:) :) | |
김대현조민성기비비기 | |
김정민희식수 | |
김민식은정희수를좋아해 | |
명조하는김도윤작작하고공부해라 | |
e^iπ + 1 = 0 | |
6모망했다 도윤아 롤 ㄱㄱ | |
도윤아우리6모공부는안하냐?? | |
{(;)} | |
606호사는김도윤전담언제사냐 | |
5/17김민식의생일을축하해요 | |
가천대학교간호학과천영훈턱길다 | |
운정고등학교엘프녀김도윤아스카 | |
김도윤천영훈 | |
凸凸凸凸 | |
[][][][][][] |
KKOEM vs Dragunov | 192–183 | 51.20% |
KKOEM vs Bryan | 171–169 | 50.29% |
KKOEM vs Hwoarang | 189–146 | 56.42% |
KKOEM vs Kazuya | 183–152 | 54.63% |
KKOEM vs Jin | 169–136 | 55.41% |
KKOEM vs Paul | 149–133 | 52.84% |
KKOEM vs Yoshimitsu | 175–107 | 62.06% |
KKOEM vs King | 125–130 | 49.02% |
KKOEM vs Steve | 124–131 | 48.63% |
KKOEM vs Victor | 143–89 | 61.64% |
KKOEM vs Reina | 139–86 | 61.78% |
KKOEM vs Devil Jin | 121–103 | 54.02% |
KKOEM vs Asuka | 110–112 | 49.55% |
KKOEM vs Clive | 115–104 | 52.51% |
KKOEM vs Heihachi | 108–110 | 49.54% |
KKOEM vs Lili | 109–90 | 54.77% |
KKOEM vs Jun | 114–75 | 60.32% |
KKOEM vs Law | 97–84 | 53.59% |
KKOEM vs Nina | 97–80 | 54.80% |
KKOEM vs Lee | 105–71 | 59.66% |
KKOEM vs Jack-8 | 67–107 | 38.51% |
KKOEM vs Xiaoyu | 94–76 | 55.29% |
KKOEM vs Claudio | 94–74 | 55.95% |
KKOEM vs Feng | 87–78 | 52.73% |
KKOEM vs Lars | 84–81 | 50.91% |
KKOEM vs Azucena | 87–76 | 53.37% |
KKOEM vs Eddy | 83–79 | 51.23% |
KKOEM vs Alisa | 87–67 | 56.49% |
KKOEM vs Shaheen | 81–62 | 56.64% |
KKOEM vs Leroy | 75–66 | 53.19% |
KKOEM vs Zafina | 62–59 | 51.24% |
KKOEM vs Leo | 54–51 | 51.43% |
KKOEM vs Kuma | 60–43 | 58.25% |
KKOEM vs Raven | 46–54 | 46.00% |
KKOEM vs Lidia | 35–45 | 43.75% |
KKOEM vs Panda | 16–26 | 38.10% |
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.