| Vermisst vs Kazuya | 44–49 | 47.31% |
| Vermisst vs King | 46–37 | 55.42% |
| Vermisst vs Reina | 39–25 | 60.94% |
| Vermisst vs Jin | 29–34 | 46.03% |
| Vermisst vs Bryan | 26–20 | 56.52% |
| Vermisst vs Steve | 27–19 | 58.70% |
| Vermisst vs Law | 19–19 | 50.00% |
| Vermisst vs Nina | 26–10 | 72.22% |
| Vermisst vs Devil Jin | 18–16 | 52.94% |
| Vermisst vs Dragunov | 19–15 | 55.88% |
| Vermisst vs Lee | 22–12 | 64.71% |
| Vermisst vs Hwoarang | 21–12 | 63.64% |
| Vermisst vs Eddy | 16–16 | 50.00% |
| Vermisst vs Paul | 19–11 | 63.33% |
| Vermisst vs Lili | 17–13 | 56.67% |
| Vermisst vs Asuka | 8–20 | 28.57% |
| Vermisst vs Yoshimitsu | 19–8 | 70.37% |
| Vermisst vs Lidia | 18–8 | 69.23% |
| Vermisst vs Jun | 12–13 | 48.00% |
| Vermisst vs Leroy | 11–13 | 45.83% |
| Vermisst vs Heihachi | 11–10 | 52.38% |
| Vermisst vs Alisa | 11–9 | 55.00% |
| Vermisst vs Victor | 9–9 | 50.00% |
| Vermisst vs Xiaoyu | 8–9 | 47.06% |
| Vermisst vs Leo | 11–6 | 64.71% |
| Vermisst vs Lars | 6–11 | 35.29% |
| Vermisst vs Claudio | 8–7 | 53.33% |
| Vermisst vs Azucena | 8–5 | 61.54% |
| Vermisst vs Jack-8 | 5–7 | 41.67% |
| Vermisst vs Feng | 5–7 | 41.67% |
| Vermisst vs Kuma | 4–4 | 50.00% |
| Vermisst vs Raven | 6–2 | 75.00% |
| Vermisst vs Shaheen | 3–4 | 42.86% |
| Vermisst vs Anna | 4–3 | 57.14% |
| Vermisst vs Armor King | 2–4 | 33.33% |
| Vermisst vs Fahkumram | 4–0 | 100.00% |
| Vermisst vs Miary Zo | 1–2 | 33.33% |
| Vermisst vs Zafina | 0–2 | 0.00% |
| Vermisst 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.