| BÜ?mseDICH vs Jin | 8–6 | 57.14% |
| BÜ?mseDICH vs Hwoarang | 11–1 | 91.67% |
| BÜ?mseDICH vs Lili | 7–3 | 70.00% |
| BÜ?mseDICH vs King | 5–3 | 62.50% |
| BÜ?mseDICH vs Reina | 4–2 | 66.67% |
| BÜ?mseDICH vs Eddy | 4–2 | 66.67% |
| BÜ?mseDICH vs Steve | 3–2 | 60.00% |
| BÜ?mseDICH vs Bryan | 2–2 | 50.00% |
| BÜ?mseDICH vs Leroy | 2–2 | 50.00% |
| BÜ?mseDICH vs Armor King | 4–0 | 100.00% |
| BÜ?mseDICH vs Law | 2–1 | 66.67% |
| BÜ?mseDICH vs Yoshimitsu | 0–3 | 0.00% |
| BÜ?mseDICH vs Kazuya | 0–3 | 0.00% |
| BÜ?mseDICH vs Lee | 2–1 | 66.67% |
| BÜ?mseDICH vs Heihachi | 3–0 | 100.00% |
| BÜ?mseDICH vs Miary Zo | 1–2 | 33.33% |
| BÜ?mseDICH vs Asuka | 2–0 | 100.00% |
| BÜ?mseDICH vs Feng | 2–0 | 100.00% |
| BÜ?mseDICH vs Dragunov | 2–0 | 100.00% |
| BÜ?mseDICH vs Lars | 2–0 | 100.00% |
| BÜ?mseDICH vs Shaheen | 2–0 | 100.00% |
| BÜ?mseDICH vs Nina | 0–2 | 0.00% |
| BÜ?mseDICH vs Azucena | 1–1 | 50.00% |
| BÜ?mseDICH vs Victor | 1–1 | 50.00% |
| BÜ?mseDICH vs Raven | 2–0 | 100.00% |
| BÜ?mseDICH vs Lidia | 1–1 | 50.00% |
| BÜ?mseDICH vs Clive | 2–0 | 100.00% |
| BÜ?mseDICH vs Paul | 1–0 | 100.00% |
| BÜ?mseDICH vs Xiaoyu | 1–0 | 100.00% |
| BÜ?mseDICH vs Leo | 0–1 | 0.00% |
| BÜ?mseDICH vs Alisa | 1–0 | 100.00% |
| BÜ?mseDICH vs Claudio | 0–1 | 0.00% |
| BÜ?mseDICH vs Jun | 1–0 | 100.00% |
| BÜ?mseDICH vs Fahkumram | 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.