| misaki vs Clive | 35–21 | 62.50% |
| misaki vs Dragunov | 28–19 | 59.57% |
| misaki vs Paul | 21–20 | 51.22% |
| misaki vs Lili | 15–23 | 39.47% |
| misaki vs King | 22–15 | 59.46% |
| misaki vs Kazuya | 24–11 | 68.57% |
| misaki vs Bryan | 13–20 | 39.39% |
| misaki vs Jin | 18–11 | 62.07% |
| misaki vs Asuka | 17–12 | 58.62% |
| misaki vs Yoshimitsu | 13–12 | 52.00% |
| misaki vs Victor | 11–13–1 | 45.83% |
| misaki vs Law | 10–14 | 41.67% |
| misaki vs Azucena | 12–8 | 60.00% |
| misaki vs Lars | 8–11 | 42.11% |
| misaki vs Steve | 9–8 | 52.94% |
| misaki vs Reina | 9–8 | 52.94% |
| misaki vs Heihachi | 5–12 | 29.41% |
| misaki vs Claudio | 9–7 | 56.25% |
| misaki vs Eddy | 7–9 | 43.75% |
| misaki vs Hwoarang | 10–5 | 66.67% |
| misaki vs Jun | 6–9 | 40.00% |
| misaki vs Lidia | 9–6 | 60.00% |
| misaki vs Xiaoyu | 8–5 | 61.54% |
| misaki vs Feng | 5–8 | 38.46% |
| misaki vs Jack-8 | 5–6 | 45.45% |
| misaki vs Nina | 4–7 | 36.36% |
| misaki vs Kuma | 6–5 | 54.55% |
| misaki vs Leroy | 5–6 | 45.45% |
| misaki vs Alisa | 3–7 | 30.00% |
| misaki vs Shaheen | 7–3 | 70.00% |
| misaki vs Raven | 4–5 | 44.44% |
| misaki vs Devil Jin | 2–5 | 28.57% |
| misaki vs Lee | 3–4 | 42.86% |
| misaki vs Zafina | 2–5 | 28.57% |
| misaki vs Leo | 2–3 | 40.00% |
| misaki vs Panda | 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.