| PhDinBeutyology vs Kazuya | 4–2 | 66.67% |
| PhDinBeutyology vs Lars | 1–4 | 20.00% |
| PhDinBeutyology vs Lidia | 3–2 | 60.00% |
| PhDinBeutyology vs Lili | 4–0 | 100.00% |
| PhDinBeutyology vs Eddy | 3–0 | 100.00% |
| PhDinBeutyology vs Dragunov | 2–1 | 66.67% |
| PhDinBeutyology vs Bryan | 2–0 | 100.00% |
| PhDinBeutyology vs Xiaoyu | 0–2 | 0.00% |
| PhDinBeutyology vs Devil Jin | 2–0 | 100.00% |
| PhDinBeutyology vs Feng | 2–0 | 100.00% |
| PhDinBeutyology vs Alisa | 1–1 | 50.00% |
| PhDinBeutyology vs Reina | 2–0 | 100.00% |
| PhDinBeutyology vs Raven | 2–0 | 100.00% |
| PhDinBeutyology vs Leroy | 0–1 | 0.00% |
| PhDinBeutyology vs Paul | 0–1 | 0.00% |
| PhDinBeutyology vs King | 1–0 | 100.00% |
| PhDinBeutyology vs Hwoarang | 1–0 | 100.00% |
| PhDinBeutyology vs Nina | 0–1 | 0.00% |
| PhDinBeutyology vs Kuma | 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.