| Schnitzelklopfa vs Hwoarang | 11–10 | 52.38% |
| Schnitzelklopfa vs Kazuya | 9–11 | 45.00% |
| Schnitzelklopfa vs King | 10–9 | 52.63% |
| Schnitzelklopfa vs Jin | 10–9 | 52.63% |
| Schnitzelklopfa vs Steve | 12–7 | 63.16% |
| Schnitzelklopfa vs Reina | 5–9 | 35.71% |
| Schnitzelklopfa vs Law | 4–8 | 33.33% |
| Schnitzelklopfa vs Lili | 6–4 | 60.00% |
| Schnitzelklopfa vs Eddy | 5–4 | 55.56% |
| Schnitzelklopfa vs Fahkumram | 6–3 | 66.67% |
| Schnitzelklopfa vs Bryan | 6–2 | 75.00% |
| Schnitzelklopfa vs Leroy | 6–2 | 75.00% |
| Schnitzelklopfa vs Lidia | 4–4 | 50.00% |
| Schnitzelklopfa vs Heihachi | 1–7 | 12.50% |
| Schnitzelklopfa vs Jun | 4–3 | 57.14% |
| Schnitzelklopfa vs Clive | 3–4 | 42.86% |
| Schnitzelklopfa vs Asuka | 2–4 | 33.33% |
| Schnitzelklopfa vs Yoshimitsu | 3–2 | 60.00% |
| Schnitzelklopfa vs Xiaoyu | 4–1 | 80.00% |
| Schnitzelklopfa vs Nina | 2–3 | 40.00% |
| Schnitzelklopfa vs Lee | 4–1 | 80.00% |
| Schnitzelklopfa vs Azucena | 3–2 | 60.00% |
| Schnitzelklopfa vs Dragunov | 0–4 | 0.00% |
| Schnitzelklopfa vs Paul | 2–1 | 66.67% |
| Schnitzelklopfa vs Feng | 0–3 | 0.00% |
| Schnitzelklopfa vs Alisa | 3–0 | 100.00% |
| Schnitzelklopfa vs Shaheen | 2–1 | 66.67% |
| Schnitzelklopfa vs Victor | 3–0 | 100.00% |
| Schnitzelklopfa vs Anna | 2–1 | 66.67% |
| Schnitzelklopfa vs Devil Jin | 2–0 | 100.00% |
| Schnitzelklopfa vs Lars | 0–2 | 0.00% |
| Schnitzelklopfa vs Claudio | 2–0 | 100.00% |
| Schnitzelklopfa vs Kuma | 0–1 | 0.00% |
| Schnitzelklopfa vs Panda | 1–0 | 100.00% |
| Schnitzelklopfa vs Zafina | 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.