| _푸주_ vs Paul | 28–31 | 47.46% |
| _푸주_ vs Kazuya | 33–26 | 55.93% |
| _푸주_ vs Dragunov | 29–27 | 51.79% |
| _푸주_ vs Fahkumram | 29–24 | 54.72% |
| _푸주_ vs Bryan | 23–26 | 46.94% |
| _푸주_ vs King | 20–17 | 54.05% |
| _푸주_ vs Hwoarang | 13–24 | 35.14% |
| _푸주_ vs Reina | 11–25 | 30.56% |
| _푸주_ vs Victor | 13–14 | 48.15% |
| _푸주_ vs Yoshimitsu | 12–12 | 50.00% |
| _푸주_ vs Steve | 14–10 | 58.33% |
| _푸주_ vs Jin | 10–13 | 43.48% |
| _푸주_ vs Asuka | 15–6 | 71.43% |
| _푸주_ vs Lili | 13–8 | 61.90% |
| _푸주_ vs Jack-8 | 11–9 | 55.00% |
| _푸주_ vs Jun | 7–13 | 35.00% |
| _푸주_ vs Law | 9–10 | 47.37% |
| _푸주_ vs Feng | 6–12 | 33.33% |
| _푸주_ vs Claudio | 9–9 | 50.00% |
| _푸주_ vs Devil Jin | 9–6 | 60.00% |
| _푸주_ vs Lidia | 9–6 | 60.00% |
| _푸주_ vs Anna | 7–8 | 46.67% |
| _푸주_ vs Heihachi | 8–6 | 57.14% |
| _푸주_ vs Clive | 8–6 | 57.14% |
| _푸주_ vs Alisa | 5–8 | 38.46% |
| _푸주_ vs Xiaoyu | 4–7 | 36.36% |
| _푸주_ vs Lars | 4–7 | 36.36% |
| _푸주_ vs Leroy | 3–8 | 27.27% |
| _푸주_ vs Azucena | 9–2 | 81.82% |
| _푸주_ vs Lee | 5–5 | 50.00% |
| _푸주_ vs Miary Zo | 6–3 | 66.67% |
| _푸주_ vs Nina | 4–4 | 50.00% |
| _푸주_ vs Shaheen | 3–4 | 42.86% |
| _푸주_ vs Leo | 1–4 | 20.00% |
| _푸주_ vs Armor King | 3–2 | 60.00% |
| _푸주_ vs Panda | 4–0 | 100.00% |
| _푸주_ vs Zafina | 1–3 | 25.00% |
| _푸주_ vs Raven | 1–1 | 50.00% |
| _푸주_ vs Eddy | 1–1 | 50.00% |
| _푸주_ vs Kuma | 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.