| pillow vs Steve | 2–7 | 22.22% |
| pillow vs King | 3–4 | 42.86% |
| pillow vs Nina | 3–3 | 50.00% |
| pillow vs Hwoarang | 3–2 | 60.00% |
| pillow vs Alisa | 3–2 | 60.00% |
| pillow vs Lili | 0–4 | 0.00% |
| pillow vs Jun | 0–4 | 0.00% |
| pillow vs Xiaoyu | 2–1 | 66.67% |
| pillow vs Bryan | 2–1 | 66.67% |
| pillow vs Asuka | 0–3 | 0.00% |
| pillow vs Heihachi | 1–2 | 33.33% |
| pillow vs Paul | 0–2 | 0.00% |
| pillow vs Jin | 0–2 | 0.00% |
| pillow vs Dragunov | 0–2 | 0.00% |
| pillow vs Lars | 0–2 | 0.00% |
| pillow vs Shaheen | 0–2 | 0.00% |
| pillow vs Azucena | 0–2 | 0.00% |
| pillow vs Lidia | 0–2 | 0.00% |
| pillow vs Yoshimitsu | 0–1 | 0.00% |
| pillow vs Clive | 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.