| 7년만에합니다 vs Bryan | 52–24 | 68.42% |
| 7년만에합니다 vs Armor King | 34–22 | 60.71% |
| 7년만에합니다 vs Hwoarang | 35–19 | 64.81% |
| 7년만에합니다 vs Fahkumram | 26–25 | 50.98% |
| 7년만에합니다 vs Dragunov | 23–18 | 56.10% |
| 7년만에합니다 vs King | 31–9 | 77.50% |
| 7년만에합니다 vs Asuka | 20–19 | 51.28% |
| 7년만에합니다 vs Kazuya | 16–19 | 45.71% |
| 7년만에합니다 vs Jin | 18–16 | 52.94% |
| 7년만에합니다 vs Devil Jin | 23–11 | 67.65% |
| 7년만에합니다 vs Nina | 17–13 | 56.67% |
| 7년만에합니다 vs Paul | 19–9 | 67.86% |
| 7년만에합니다 vs Reina | 18–10 | 64.29% |
| 7년만에합니다 vs Steve | 13–14 | 48.15% |
| 7년만에합니다 vs Jack-8 | 13–13 | 50.00% |
| 7년만에합니다 vs Leo | 16–9 | 64.00% |
| 7년만에합니다 vs Lars | 13–12 | 52.00% |
| 7년만에합니다 vs Jun | 11–13 | 45.83% |
| 7년만에합니다 vs Lili | 8–15 | 34.78% |
| 7년만에합니다 vs Law | 9–13 | 40.91% |
| 7년만에합니다 vs Anna | 11–11 | 50.00% |
| 7년만에합니다 vs Yoshimitsu | 8–13 | 38.10% |
| 7년만에합니다 vs Heihachi | 8–12 | 40.00% |
| 7년만에합니다 vs Lee | 9–10 | 47.37% |
| 7년만에합니다 vs Claudio | 8–10 | 44.44% |
| 7년만에합니다 vs Xiaoyu | 7–10 | 41.18% |
| 7년만에합니다 vs Alisa | 9–8 | 52.94% |
| 7년만에합니다 vs Leroy | 7–10 | 41.18% |
| 7년만에합니다 vs Raven | 11–6 | 64.71% |
| 7년만에합니다 vs Clive | 4–11 | 26.67% |
| 7년만에합니다 vs Azucena | 3–11 | 21.43% |
| 7년만에합니다 vs Victor | 5–8 | 38.46% |
| 7년만에합니다 vs Lidia | 10–3 | 76.92% |
| 7년만에합니다 vs Eddy | 1–11 | 8.33% |
| 7년만에합니다 vs Kuma | 6–4 | 60.00% |
| 7년만에합니다 vs Feng | 2–7 | 22.22% |
| 7년만에합니다 vs Shaheen | 2–7 | 22.22% |
| 7년만에합니다 vs Panda | 3–3 | 50.00% |
| 7년만에합니다 vs Zafina | 3–1 | 75.00% |
| 7년만에합니다 vs Miary Zo | 0–3 | 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.