| valerochka vs Kazuya | 8–19 | 29.63% |
| valerochka vs Reina | 13–11 | 54.17% |
| valerochka vs King | 6–15 | 28.57% |
| valerochka vs Hwoarang | 6–14 | 30.00% |
| valerochka vs Law | 6–11 | 35.29% |
| valerochka vs Azucena | 4–13 | 23.53% |
| valerochka vs Lidia | 8–9 | 47.06% |
| valerochka vs Jin | 4–12 | 25.00% |
| valerochka vs Victor | 7–9 | 43.75% |
| valerochka vs Lars | 5–10 | 33.33% |
| valerochka vs Lili | 5–8 | 38.46% |
| valerochka vs Devil Jin | 5–7 | 41.67% |
| valerochka vs Steve | 5–2 | 71.43% |
| valerochka vs Feng | 1–6 | 14.29% |
| valerochka vs Claudio | 3–4 | 42.86% |
| valerochka vs Shaheen | 4–3 | 57.14% |
| valerochka vs Jack-8 | 2–4 | 33.33% |
| valerochka vs Yoshimitsu | 2–3 | 40.00% |
| valerochka vs Asuka | 4–1 | 80.00% |
| valerochka vs Dragunov | 0–5 | 0.00% |
| valerochka vs Heihachi | 1–4 | 20.00% |
| valerochka vs Paul | 0–4 | 0.00% |
| valerochka vs Bryan | 3–1 | 75.00% |
| valerochka vs Nina | 2–2 | 50.00% |
| valerochka vs Xiaoyu | 0–3 | 0.00% |
| valerochka vs Zafina | 0–3 | 0.00% |
| valerochka vs Jun | 2–1 | 66.67% |
| valerochka vs Kuma | 0–2 | 0.00% |
| valerochka vs Leroy | 0–2 | 0.00% |
| valerochka vs Eddy | 0–2 | 0.00% |
| valerochka vs Clive | 1–1 | 50.00% |
| valerochka vs Alisa | 0–1 | 0.00% |
| valerochka vs Lee | 0–1 | 0.00% |
| valerochka vs Panda | 1–0 | 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.