Name history
| dog병sin겜 | |
| 부산사나이박춘재 | |
| 테무산 로하이 | |
| 드라너무약해드라상향해줘 | |
| 철권최고의미녀아스카 | |
| 사랑은놓쳐도딜캐는놓치지마라 | |
| 콩나물테라피 우유 | |
| 손흥민의발목돌리기 | |
| 똥컴그지련한테는시훼함그지련아 | |
| 쉽덕은사람취급안함 |
| dog병sin겜 vs Kazuya | 44–9 | 83.02% |
| dog병sin겜 vs Bryan | 30–10 | 75.00% |
| dog병sin겜 vs Reina | 28–12 | 70.00% |
| dog병sin겜 vs Paul | 26–13 | 66.67% |
| dog병sin겜 vs Dragunov | 32–7 | 82.05% |
| dog병sin겜 vs Jin | 28–8 | 77.78% |
| dog병sin겜 vs King | 21–5 | 80.77% |
| dog병sin겜 vs Fahkumram | 21–4 | 84.00% |
| dog병sin겜 vs Lili | 14–6 | 70.00% |
| dog병sin겜 vs Victor | 16–4 | 80.00% |
| dog병sin겜 vs Hwoarang | 16–2 | 88.89% |
| dog병sin겜 vs Asuka | 15–3 | 83.33% |
| dog병sin겜 vs Feng | 12–3 | 80.00% |
| dog병sin겜 vs Nina | 12–2 | 85.71% |
| dog병sin겜 vs Lars | 9–4 | 69.23% |
| dog병sin겜 vs Steve | 11–1 | 91.67% |
| dog병sin겜 vs Kuma | 12–0 | 100.00% |
| dog병sin겜 vs Azucena | 7–5 | 58.33% |
| dog병sin겜 vs Devil Jin | 8–3 | 72.73% |
| dog병sin겜 vs Eddy | 8–3 | 72.73% |
| dog병sin겜 vs Law | 10–0 | 100.00% |
| dog병sin겜 vs Jack-8 | 4–5 | 44.44% |
| dog병sin겜 vs Lee | 8–1 | 88.89% |
| dog병sin겜 vs Yoshimitsu | 6–2 | 75.00% |
| dog병sin겜 vs Leroy | 6–2 | 75.00% |
| dog병sin겜 vs Raven | 4–4 | 50.00% |
| dog병sin겜 vs Claudio | 5–1 | 83.33% |
| dog병sin겜 vs Panda | 5–1 | 83.33% |
| dog병sin겜 vs Leo | 4–1 | 80.00% |
| dog병sin겜 vs Heihachi | 2–3 | 40.00% |
| dog병sin겜 vs Armor King | 5–0 | 100.00% |
| dog병sin겜 vs Xiaoyu | 2–2 | 50.00% |
| dog병sin겜 vs Jun | 3–1 | 75.00% |
| dog병sin겜 vs Alisa | 3–0 | 100.00% |
| dog병sin겜 vs Zafina | 3–0 | 100.00% |
| dog병sin겜 vs Lidia | 0–3 | 0.00% |
| dog병sin겜 vs Shaheen | 1–1 | 50.00% |
| dog병sin겜 vs Miary Zo | 2–0 | 100.00% |
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.