| KillerQueen vs Eddy | 17–29 | 36.96% |
| KillerQueen vs Jin | 17–20 | 45.95% |
| KillerQueen vs Dragunov | 10–16 | 38.46% |
| KillerQueen vs Bryan | 12–12 | 50.00% |
| KillerQueen vs Hwoarang | 15–7 | 68.18% |
| KillerQueen vs Xiaoyu | 9–13 | 40.91% |
| KillerQueen vs Kazuya | 15–6 | 71.43% |
| KillerQueen vs King | 13–7 | 65.00% |
| KillerQueen vs Law | 7–11 | 38.89% |
| KillerQueen vs Reina | 7–11 | 38.89% |
| KillerQueen vs Steve | 15–1 | 93.75% |
| KillerQueen vs Yoshimitsu | 7–7 | 50.00% |
| KillerQueen vs Asuka | 11–3 | 78.57% |
| KillerQueen vs Lars | 6–8 | 42.86% |
| KillerQueen vs Paul | 8–5 | 61.54% |
| KillerQueen vs Jun | 5–6 | 45.45% |
| KillerQueen vs Victor | 6–4 | 60.00% |
| KillerQueen vs Feng | 5–4 | 55.56% |
| KillerQueen vs Azucena | 7–2 | 77.78% |
| KillerQueen vs Jack-8 | 2–6 | 25.00% |
| KillerQueen vs Alisa | 4–4 | 50.00% |
| KillerQueen vs Kuma | 4–3 | 57.14% |
| KillerQueen vs Nina | 1–5 | 16.67% |
| KillerQueen vs Lee | 3–2 | 60.00% |
| KillerQueen vs Devil Jin | 3–1 | 75.00% |
| KillerQueen vs Shaheen | 1–3 | 25.00% |
| KillerQueen vs Lili | 2–1 | 66.67% |
| KillerQueen vs Leo | 2–0 | 100.00% |
| KillerQueen vs Raven | 0–2 | 0.00% |
| KillerQueen vs Claudio | 0–1 | 0.00% |
| KillerQueen vs Panda | 0–1 | 0.00% |
| KillerQueen vs Leroy | 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.