| porcelain vs King | 13–26 | 33.33% |
| porcelain vs Steve | 10–21 | 32.26% |
| porcelain vs Fahkumram | 9–19 | 32.14% |
| porcelain vs Law | 10–17 | 37.04% |
| porcelain vs Jin | 15–12 | 55.56% |
| porcelain vs Dragunov | 10–16 | 38.46% |
| porcelain vs Reina | 10–15 | 40.00% |
| porcelain vs Asuka | 17–6 | 73.91% |
| porcelain vs Jun | 9–11 | 45.00% |
| porcelain vs Kazuya | 7–12 | 36.84% |
| porcelain vs Bryan | 4–14 | 22.22% |
| porcelain vs Eddy | 6–11 | 35.29% |
| porcelain vs Lidia | 7–10 | 41.18% |
| porcelain vs Yoshimitsu | 4–10 | 28.57% |
| porcelain vs Lili | 7–6 | 53.85% |
| porcelain vs Clive | 2–11 | 15.38% |
| porcelain vs Hwoarang | 4–8 | 33.33% |
| porcelain vs Feng | 9–3 | 75.00% |
| porcelain vs Heihachi | 6–6 | 50.00% |
| porcelain vs Lars | 5–6 | 45.45% |
| porcelain vs Anna | 1–10 | 9.09% |
| porcelain vs Azucena | 4–6 | 40.00% |
| porcelain vs Leroy | 5–4 | 55.56% |
| porcelain vs Devil Jin | 2–6 | 25.00% |
| porcelain vs Nina | 3–5 | 37.50% |
| porcelain vs Miary Zo | 3–5 | 37.50% |
| porcelain vs Alisa | 2–5 | 28.57% |
| porcelain vs Lee | 5–2 | 71.43% |
| porcelain vs Paul | 3–3 | 50.00% |
| porcelain vs Jack-8 | 4–2 | 66.67% |
| porcelain vs Victor | 1–5 | 16.67% |
| porcelain vs Leo | 1–4 | 20.00% |
| porcelain vs Zafina | 4–1 | 80.00% |
| porcelain vs Armor King | 2–3 | 40.00% |
| porcelain vs Xiaoyu | 4–0 | 100.00% |
| porcelain vs Panda | 1–2 | 33.33% |
| porcelain vs Shaheen | 0–2 | 0.00% |
| porcelain vs Kuma | 1–1 | 50.00% |
| porcelain vs Raven | 1–1 | 50.00% |
| porcelain vs Claudio | 0–1 | 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.