| Albin0Gibb0n vs Jin | 8–22 | 26.67% |
| Albin0Gibb0n vs Reina | 5–22 | 18.52% |
| Albin0Gibb0n vs Dragunov | 7–18 | 28.00% |
| Albin0Gibb0n vs Heihachi | 14–10 | 58.33% |
| Albin0Gibb0n vs Kazuya | 7–16 | 30.43% |
| Albin0Gibb0n vs Steve | 11–10 | 52.38% |
| Albin0Gibb0n vs Clive | 7–12 | 36.84% |
| Albin0Gibb0n vs King | 6–12 | 33.33% |
| Albin0Gibb0n vs Lili | 5–12 | 29.41% |
| Albin0Gibb0n vs Law | 7–8 | 46.67% |
| Albin0Gibb0n vs Victor | 4–11 | 26.67% |
| Albin0Gibb0n vs Hwoarang | 3–9 | 25.00% |
| Albin0Gibb0n vs Xiaoyu | 6–5 | 54.55% |
| Albin0Gibb0n vs Jun | 3–7 | 30.00% |
| Albin0Gibb0n vs Eddy | 5–5 | 50.00% |
| Albin0Gibb0n vs Lidia | 4–6 | 40.00% |
| Albin0Gibb0n vs Yoshimitsu | 1–8 | 11.11% |
| Albin0Gibb0n vs Leroy | 6–3 | 66.67% |
| Albin0Gibb0n vs Raven | 1–8 | 11.11% |
| Albin0Gibb0n vs Paul | 5–3 | 62.50% |
| Albin0Gibb0n vs Devil Jin | 1–6 | 14.29% |
| Albin0Gibb0n vs Alisa | 3–4 | 42.86% |
| Albin0Gibb0n vs Feng | 2–4 | 33.33% |
| Albin0Gibb0n vs Shaheen | 3–3 | 50.00% |
| Albin0Gibb0n vs Lee | 1–4 | 20.00% |
| Albin0Gibb0n vs Zafina | 1–4 | 20.00% |
| Albin0Gibb0n vs Bryan | 3–1 | 75.00% |
| Albin0Gibb0n vs Nina | 2–2 | 50.00% |
| Albin0Gibb0n vs Lars | 1–2 | 33.33% |
| Albin0Gibb0n vs Jack-8 | 0–2 | 0.00% |
| Albin0Gibb0n vs Asuka | 2–0 | 100.00% |
| Albin0Gibb0n vs Leo | 0–2 | 0.00% |
| Albin0Gibb0n vs Azucena | 0–2 | 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.