| quilt vs Kazuya | 106–73 | 59.22% |
| quilt vs Jin | 101–64 | 61.21% |
| quilt vs Dragunov | 91–73 | 55.49% |
| quilt vs Bryan | 88–62–1 | 58.67% |
| quilt vs Hwoarang | 90–54 | 62.50% |
| quilt vs Reina | 84–56 | 60.00% |
| quilt vs Paul | 88–49 | 64.23% |
| quilt vs Victor | 85–46 | 64.89% |
| quilt vs Steve | 62–68 | 47.69% |
| quilt vs Lili | 70–50 | 58.33% |
| quilt vs Law | 72–44 | 62.07% |
| quilt vs Feng | 54–61 | 46.96% |
| quilt vs Asuka | 55–58 | 48.67% |
| quilt vs Devil Jin | 63–50 | 55.75% |
| quilt vs King | 63–42 | 60.00% |
| quilt vs Claudio | 52–52 | 50.00% |
| quilt vs Jun | 60–44 | 57.69% |
| quilt vs Lars | 38–45 | 45.78% |
| quilt vs Jack-8 | 44–38 | 53.66% |
| quilt vs Azucena | 54–28 | 65.85% |
| quilt vs Lee | 42–38 | 52.50% |
| quilt vs Alisa | 35–41 | 46.05% |
| quilt vs Shaheen | 39–35 | 52.70% |
| quilt vs Leo | 37–34 | 52.11% |
| quilt vs Nina | 37–34 | 52.11% |
| quilt vs Yoshimitsu | 37–29 | 56.06% |
| quilt vs Raven | 32–30 | 51.61% |
| quilt vs Eddy | 28–31 | 47.46% |
| quilt vs Leroy | 31–23 | 57.41% |
| quilt vs Kuma | 37–16 | 69.81% |
| quilt vs Zafina | 24–19 | 55.81% |
| quilt vs Xiaoyu | 14–22 | 38.89% |
| quilt vs Lidia | 17–13 | 56.67% |
| quilt vs Panda | 9–12 | 42.86% |
| quilt vs Heihachi | 8–8 | 50.00% |
| quilt vs Clive | 9–7 | 56.25% |
| quilt vs Anna | 9–6 | 60.00% |
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.