| Peau d'cuir vs King | 12–18 | 40.00% |
| Peau d'cuir vs Reina | 15–9 | 62.50% |
| Peau d'cuir vs Eddy | 4–14 | 22.22% |
| Peau d'cuir vs Jin | 12–5 | 70.59% |
| Peau d'cuir vs Kazuya | 4–12 | 25.00% |
| Peau d'cuir vs Law | 5–7 | 41.67% |
| Peau d'cuir vs Steve | 4–8 | 33.33% |
| Peau d'cuir vs Devil Jin | 5–7 | 41.67% |
| Peau d'cuir vs Paul | 3–7 | 30.00% |
| Peau d'cuir vs Lili | 7–3 | 70.00% |
| Peau d'cuir vs Yoshimitsu | 5–4 | 55.56% |
| Peau d'cuir vs Leo | 6–3 | 66.67% |
| Peau d'cuir vs Claudio | 0–8 | 0.00% |
| Peau d'cuir vs Nina | 4–4 | 50.00% |
| Peau d'cuir vs Dragunov | 5–2 | 71.43% |
| Peau d'cuir vs Lars | 1–6 | 14.29% |
| Peau d'cuir vs Hwoarang | 6–0 | 100.00% |
| Peau d'cuir vs Feng | 0–6 | 0.00% |
| Peau d'cuir vs Asuka | 2–3 | 40.00% |
| Peau d'cuir vs Leroy | 2–3 | 40.00% |
| Peau d'cuir vs Azucena | 4–1 | 80.00% |
| Peau d'cuir vs Victor | 3–2 | 60.00% |
| Peau d'cuir vs Bryan | 0–4 | 0.00% |
| Peau d'cuir vs Xiaoyu | 2–1 | 66.67% |
| Peau d'cuir vs Jack-8 | 1–2 | 33.33% |
| Peau d'cuir vs Alisa | 2–1 | 66.67% |
| Peau d'cuir vs Shaheen | 2–1 | 66.67% |
| Peau d'cuir vs Lee | 1–2 | 33.33% |
| Peau d'cuir vs Kuma | 0–3 | 0.00% |
| Peau d'cuir vs Jun | 1–2 | 33.33% |
| Peau d'cuir vs Raven | 1–2 | 33.33% |
| Peau d'cuir vs Clive | 0–3 | 0.00% |
| Peau d'cuir vs Zafina | 1–1 | 50.00% |
| Peau d'cuir vs Lidia | 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.