| fuc_PIM vs Kazuya | 5–4 | 55.56% |
| fuc_PIM vs King | 2–5 | 28.57% |
| fuc_PIM vs Azucena | 3–3 | 50.00% |
| fuc_PIM vs Feng | 1–4 | 20.00% |
| fuc_PIM vs Dragunov | 4–1 | 80.00% |
| fuc_PIM vs Alisa | 1–4 | 20.00% |
| fuc_PIM vs Paul | 2–2 | 50.00% |
| fuc_PIM vs Hwoarang | 2–2 | 50.00% |
| fuc_PIM vs Jin | 2–2 | 50.00% |
| fuc_PIM vs Jun | 2–2 | 50.00% |
| fuc_PIM vs Law | 2–1 | 66.67% |
| fuc_PIM vs Asuka | 1–2 | 33.33% |
| fuc_PIM vs Reina | 3–0 | 100.00% |
| fuc_PIM vs Eddy | 2–1 | 66.67% |
| fuc_PIM vs Xiaoyu | 1–1 | 50.00% |
| fuc_PIM vs Steve | 0–2 | 0.00% |
| fuc_PIM vs Lars | 0–2 | 0.00% |
| fuc_PIM vs Bryan | 1–0 | 100.00% |
| fuc_PIM vs Kuma | 1–0 | 100.00% |
| fuc_PIM vs Zafina | 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.