| Dress Code vs Bryan | 15–14 | 51.72% |
| Dress Code vs Miary Zo | 15–8 | 65.22% |
| Dress Code vs Armor King | 15–6 | 71.43% |
| Dress Code vs Jin | 14–5 | 73.68% |
| Dress Code vs Lili | 8–10 | 44.44% |
| Dress Code vs Lars | 10–8 | 55.56% |
| Dress Code vs Lidia | 10–7 | 58.82% |
| Dress Code vs Paul | 8–7 | 53.33% |
| Dress Code vs Nina | 7–8 | 46.67% |
| Dress Code vs Dragunov | 9–5 | 64.29% |
| Dress Code vs Asuka | 7–5 | 58.33% |
| Dress Code vs Fahkumram | 6–6 | 50.00% |
| Dress Code vs Law | 7–4 | 63.64% |
| Dress Code vs Kazuya | 6–5 | 54.55% |
| Dress Code vs Steve | 6–5 | 54.55% |
| Dress Code vs Xiaoyu | 8–2 | 80.00% |
| Dress Code vs Hwoarang | 4–5 | 44.44% |
| Dress Code vs Devil Jin | 6–3 | 66.67% |
| Dress Code vs Feng | 4–5 | 44.44% |
| Dress Code vs Alisa | 8–1 | 88.89% |
| Dress Code vs Lee | 4–5 | 44.44% |
| Dress Code vs Heihachi | 7–2 | 77.78% |
| Dress Code vs King | 4–4 | 50.00% |
| Dress Code vs Clive | 7–1 | 87.50% |
| Dress Code vs Yoshimitsu | 6–1 | 85.71% |
| Dress Code vs Leo | 6–1 | 85.71% |
| Dress Code vs Anna | 5–2 | 71.43% |
| Dress Code vs Victor | 2–4 | 33.33% |
| Dress Code vs Leroy | 3–2 | 60.00% |
| Dress Code vs Reina | 3–2 | 60.00% |
| Dress Code vs Eddy | 3–2 | 60.00% |
| Dress Code vs Claudio | 4–0 | 100.00% |
| Dress Code vs Shaheen | 4–0 | 100.00% |
| Dress Code vs Kuma | 2–2 | 50.00% |
| Dress Code vs Azucena | 3–1 | 75.00% |
| Dress Code vs Raven | 2–2 | 50.00% |
| Dress Code vs Panda | 1–2 | 33.33% |
| Dress Code vs Jack-8 | 2–0 | 100.00% |
| Dress Code vs Jun | 2–0 | 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.