| Vamppp vs King | 23–26 | 46.94% |
| Vamppp vs Bryan | 19–22 | 46.34% |
| Vamppp vs Steve | 20–21 | 48.78% |
| Vamppp vs Jin | 17–22 | 43.59% |
| Vamppp vs Paul | 8–26 | 23.53% |
| Vamppp vs Victor | 14–18 | 43.75% |
| Vamppp vs Dragunov | 20–8 | 71.43% |
| Vamppp vs Law | 9–16 | 36.00% |
| Vamppp vs Yoshimitsu | 9–16 | 36.00% |
| Vamppp vs Kazuya | 10–14 | 41.67% |
| Vamppp vs Armor King | 12–10 | 54.55% |
| Vamppp vs Asuka | 6–13 | 31.58% |
| Vamppp vs Jun | 9–10 | 47.37% |
| Vamppp vs Lee | 6–12 | 33.33% |
| Vamppp vs Clive | 5–13 | 27.78% |
| Vamppp vs Reina | 11–6 | 64.71% |
| Vamppp vs Devil Jin | 7–8 | 46.67% |
| Vamppp vs Lars | 6–9 | 40.00% |
| Vamppp vs Alisa | 6–8 | 42.86% |
| Vamppp vs Eddy | 7–7 | 50.00% |
| Vamppp vs Hwoarang | 2–11 | 15.38% |
| Vamppp vs Nina | 8–4 | 66.67% |
| Vamppp vs Leroy | 5–7 | 41.67% |
| Vamppp vs Heihachi | 2–10 | 16.67% |
| Vamppp vs Lili | 3–8 | 27.27% |
| Vamppp vs Azucena | 5–6 | 45.45% |
| Vamppp vs Lidia | 6–5 | 54.55% |
| Vamppp vs Fahkumram | 5–6 | 45.45% |
| Vamppp vs Feng | 7–1 | 87.50% |
| Vamppp vs Jack-8 | 1–6 | 14.29% |
| Vamppp vs Claudio | 1–5 | 16.67% |
| Vamppp vs Xiaoyu | 0–5 | 0.00% |
| Vamppp vs Shaheen | 2–3 | 40.00% |
| Vamppp vs Zafina | 2–1 | 66.67% |
| Vamppp vs Anna | 3–0 | 100.00% |
| Vamppp vs Raven | 0–2 | 0.00% |
| Vamppp 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.