| shesmuhqueen vs Jin | 83–47 | 63.85% |
| shesmuhqueen vs Kazuya | 73–53 | 57.94% |
| shesmuhqueen vs Bryan | 57–50 | 53.27% |
| shesmuhqueen vs Reina | 47–46 | 50.54% |
| shesmuhqueen vs Lidia | 44–43 | 50.57% |
| shesmuhqueen vs King | 56–26 | 68.29% |
| shesmuhqueen vs Hwoarang | 39–40 | 49.37% |
| shesmuhqueen vs Steve | 39–39 | 50.00% |
| shesmuhqueen vs Dragunov | 42–36 | 53.85% |
| shesmuhqueen vs Lee | 38–37 | 50.67% |
| shesmuhqueen vs Lili | 34–37 | 47.89% |
| shesmuhqueen vs Heihachi | 31–34 | 47.69% |
| shesmuhqueen vs Yoshimitsu | 34–30 | 53.12% |
| shesmuhqueen vs Devil Jin | 32–30 | 51.61% |
| shesmuhqueen vs Law | 36–25 | 59.02% |
| shesmuhqueen vs Paul | 38–22 | 63.33% |
| shesmuhqueen vs Azucena | 22–34 | 39.29% |
| shesmuhqueen vs Xiaoyu | 26–25 | 50.98% |
| shesmuhqueen vs Feng | 26–25 | 50.98% |
| shesmuhqueen vs Asuka | 22–25 | 46.81% |
| shesmuhqueen vs Raven | 23–18 | 56.10% |
| shesmuhqueen vs Jun | 20–20 | 50.00% |
| shesmuhqueen vs Victor | 17–20 | 45.95% |
| shesmuhqueen vs Lars | 14–21 | 40.00% |
| shesmuhqueen vs Leo | 19–13 | 59.38% |
| shesmuhqueen vs Leroy | 12–20 | 37.50% |
| shesmuhqueen vs Clive | 14–17 | 45.16% |
| shesmuhqueen vs Nina | 13–17 | 43.33% |
| shesmuhqueen vs Alisa | 14–15 | 48.28% |
| shesmuhqueen vs Shaheen | 15–9 | 62.50% |
| shesmuhqueen vs Eddy | 8–14 | 36.36% |
| shesmuhqueen vs Jack-8 | 10–11 | 47.62% |
| shesmuhqueen vs Claudio | 11–8 | 57.89% |
| shesmuhqueen vs Kuma | 8–11 | 42.11% |
| shesmuhqueen vs Zafina | 5–4 | 55.56% |
| shesmuhqueen vs Panda | 1–3 | 25.00% |
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.