| Wardrobe vs King | 30–34 | 46.88% |
| Wardrobe vs Kazuya | 31–25 | 55.36% |
| Wardrobe vs Dragunov | 22–30 | 42.31% |
| Wardrobe vs Paul | 25–20 | 55.56% |
| Wardrobe vs Bryan | 20–21 | 48.78% |
| Wardrobe vs Hwoarang | 18–21 | 46.15% |
| Wardrobe vs Reina | 22–13 | 62.86% |
| Wardrobe vs Steve | 12–22 | 35.29% |
| Wardrobe vs Asuka | 21–11 | 65.62% |
| Wardrobe vs Jin | 14–15 | 48.28% |
| Wardrobe vs Lidia | 12–17 | 41.38% |
| Wardrobe vs Yoshimitsu | 16–11 | 59.26% |
| Wardrobe vs Lili | 16–11 | 59.26% |
| Wardrobe vs Victor | 15–12 | 55.56% |
| Wardrobe vs Alisa | 14–10 | 58.33% |
| Wardrobe vs Xiaoyu | 14–9 | 60.87% |
| Wardrobe vs Feng | 8–15 | 34.78% |
| Wardrobe vs Law | 11–10 | 52.38% |
| Wardrobe vs Lars | 8–12 | 40.00% |
| Wardrobe vs Azucena | 11–7 | 61.11% |
| Wardrobe vs Devil Jin | 8–9 | 47.06% |
| Wardrobe vs Kuma | 11–3 | 78.57% |
| Wardrobe vs Jun | 5–9 | 35.71% |
| Wardrobe vs Raven | 6–8 | 42.86% |
| Wardrobe vs Claudio | 5–8 | 38.46% |
| Wardrobe vs Lee | 6–6 | 50.00% |
| Wardrobe vs Eddy | 5–5 | 50.00% |
| Wardrobe vs Jack-8 | 5–4 | 55.56% |
| Wardrobe vs Leo | 3–6 | 33.33% |
| Wardrobe vs Shaheen | 6–2 | 75.00% |
| Wardrobe vs Leroy | 3–5 | 37.50% |
| Wardrobe vs Clive | 5–3 | 62.50% |
| Wardrobe vs Nina | 3–2 | 60.00% |
| Wardrobe vs Panda | 1–4 | 20.00% |
| Wardrobe vs Zafina | 1–2 | 33.33% |
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.