Name history
| 머덕커밍쑨 | |
| onetwo | |
| _프머_ | |
| 프라이머리 | |
| Primary | |
| 끔찍한 시간을 보내고 싶어? | |
| 팩트는 식빵이 맛있다는 거임 | |
| 망자가누군데말구보다로우잘해? | |
| 말구님..그립습니다.. | |
| 루키루키마슈퍼루키루키루키 |
| 머덕커밍쑨 vs Heihachi | 55–9 | 85.94% |
| 머덕커밍쑨 vs Bryan | 52–8 | 86.67% |
| 머덕커밍쑨 vs Reina | 47–9 | 83.93% |
| 머덕커밍쑨 vs Jin | 41–7 | 85.42% |
| 머덕커밍쑨 vs Lili | 39–9 | 81.25% |
| 머덕커밍쑨 vs Kazuya | 33–13 | 71.74% |
| 머덕커밍쑨 vs Paul | 36–9 | 80.00% |
| 머덕커밍쑨 vs Dragunov | 31–13 | 70.45% |
| 머덕커밍쑨 vs King | 32–9 | 78.05% |
| 머덕커밍쑨 vs Hwoarang | 29–7 | 80.56% |
| 머덕커밍쑨 vs Steve | 26–10 | 72.22% |
| 머덕커밍쑨 vs Devil Jin | 22–13 | 62.86% |
| 머덕커밍쑨 vs Clive | 21–14 | 60.00% |
| 머덕커밍쑨 vs Lars | 24–7 | 77.42% |
| 머덕커밍쑨 vs Jun | 19–8 | 70.37% |
| 머덕커밍쑨 vs Victor | 22–5 | 81.48% |
| 머덕커밍쑨 vs Law | 22–3 | 88.00% |
| 머덕커밍쑨 vs Lee | 21–1 | 95.45% |
| 머덕커밍쑨 vs Asuka | 15–5 | 75.00% |
| 머덕커밍쑨 vs Nina | 18–2 | 90.00% |
| 머덕커밍쑨 vs Yoshimitsu | 13–6 | 68.42% |
| 머덕커밍쑨 vs Claudio | 14–5 | 73.68% |
| 머덕커밍쑨 vs Armor King | 12–7 | 63.16% |
| 머덕커밍쑨 vs Feng | 11–7 | 61.11% |
| 머덕커밍쑨 vs Kuma | 14–3 | 82.35% |
| 머덕커밍쑨 vs Fahkumram | 12–5 | 70.59% |
| 머덕커밍쑨 vs Eddy | 12–4 | 75.00% |
| 머덕커밍쑨 vs Leroy | 11–4 | 73.33% |
| 머덕커밍쑨 vs Lidia | 12–2 | 85.71% |
| 머덕커밍쑨 vs Xiaoyu | 11–2 | 84.62% |
| 머덕커밍쑨 vs Alisa | 10–3 | 76.92% |
| 머덕커밍쑨 vs Azucena | 9–2 | 81.82% |
| 머덕커밍쑨 vs Raven | 5–5 | 50.00% |
| 머덕커밍쑨 vs Jack-8 | 8–1 | 88.89% |
| 머덕커밍쑨 vs Leo | 7–2 | 77.78% |
| 머덕커밍쑨 vs Miary Zo | 5–4 | 55.56% |
| 머덕커밍쑨 vs Shaheen | 5–3 | 62.50% |
| 머덕커밍쑨 vs Anna | 0–4 | 0.00% |
| 머덕커밍쑨 vs Zafina | 0–2 | 0.00% |
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.