| ku9n vs King | 19–26 | 42.22% |
| ku9n vs Kazuya | 16–26 | 38.10% |
| ku9n vs Hwoarang | 14–26 | 35.00% |
| ku9n vs Steve | 19–14 | 57.58% |
| ku9n vs Jin | 15–17 | 46.88% |
| ku9n vs Jun | 16–12 | 57.14% |
| ku9n vs Bryan | 13–14 | 48.15% |
| ku9n vs Law | 11–15 | 42.31% |
| ku9n vs Lili | 12–8 | 60.00% |
| ku9n vs Azucena | 14–6 | 70.00% |
| ku9n vs Dragunov | 7–10 | 41.18% |
| ku9n vs Reina | 13–4 | 76.47% |
| ku9n vs Nina | 10–5 | 66.67% |
| ku9n vs Asuka | 5–9 | 35.71% |
| ku9n vs Alisa | 7–7 | 50.00% |
| ku9n vs Claudio | 3–10 | 23.08% |
| ku9n vs Yoshimitsu | 5–7 | 41.67% |
| ku9n vs Xiaoyu | 6–6 | 50.00% |
| ku9n vs Leroy | 5–6 | 45.45% |
| ku9n vs Lidia | 5–6 | 45.45% |
| ku9n vs Devil Jin | 5–5 | 50.00% |
| ku9n vs Lars | 5–5 | 50.00% |
| ku9n vs Lee | 1–8 | 11.11% |
| ku9n vs Paul | 1–7 | 12.50% |
| ku9n vs Panda | 1–7 | 12.50% |
| ku9n vs Victor | 3–5 | 37.50% |
| ku9n vs Heihachi | 4–4 | 50.00% |
| ku9n vs Clive | 4–4 | 50.00% |
| ku9n vs Jack-8 | 2–5 | 28.57% |
| ku9n vs Eddy | 3–4 | 42.86% |
| ku9n vs Feng | 3–3 | 50.00% |
| ku9n vs Armor King | 1–4 | 20.00% |
| ku9n vs Zafina | 3–1 | 75.00% |
| ku9n vs Kuma | 0–3 | 0.00% |
| ku9n vs Raven | 2–1 | 66.67% |
| ku9n vs Leo | 2–0 | 100.00% |
| ku9n vs Shaheen | 2–0 | 100.00% |
| ku9n vs Anna | 1–0 | 100.00% |
| ku9n vs Fahkumram | 1–0 | 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.