| Apologizing vs Law | 6–15 | 28.57% |
| Apologizing vs Jin | 3–14 | 17.65% |
| Apologizing vs Steve | 5–12 | 29.41% |
| Apologizing vs King | 6–9 | 40.00% |
| Apologizing vs Jun | 3–12 | 20.00% |
| Apologizing vs Heihachi | 4–10 | 28.57% |
| Apologizing vs Lili | 6–4 | 60.00% |
| Apologizing vs Lee | 1–8 | 11.11% |
| Apologizing vs Eddy | 0–9 | 0.00% |
| Apologizing vs Dragunov | 2–6 | 25.00% |
| Apologizing vs Reina | 4–3 | 57.14% |
| Apologizing vs Bryan | 0–5–1 | 0.00% |
| Apologizing vs Claudio | 3–3 | 50.00% |
| Apologizing vs Yoshimitsu | 2–3 | 40.00% |
| Apologizing vs Xiaoyu | 2–3 | 40.00% |
| Apologizing vs Asuka | 1–4 | 20.00% |
| Apologizing vs Devil Jin | 2–3 | 40.00% |
| Apologizing vs Leroy | 2–3 | 40.00% |
| Apologizing vs Lidia | 1–4 | 20.00% |
| Apologizing vs Hwoarang | 1–3 | 25.00% |
| Apologizing vs Kazuya | 1–3 | 25.00% |
| Apologizing vs Nina | 0–4 | 0.00% |
| Apologizing vs Kuma | 1–3 | 25.00% |
| Apologizing vs Azucena | 2–2 | 50.00% |
| Apologizing vs Clive | 2–2 | 50.00% |
| Apologizing vs Fahkumram | 0–4 | 0.00% |
| Apologizing vs Lars | 2–1 | 66.67% |
| Apologizing vs Alisa | 0–3 | 0.00% |
| Apologizing vs Zafina | 1–2 | 33.33% |
| Apologizing vs Feng | 0–2 | 0.00% |
| Apologizing vs Leo | 0–2 | 0.00% |
| Apologizing vs Victor | 0–2 | 0.00% |
| Apologizing vs Raven | 0–2 | 0.00% |
| Apologizing vs Anna | 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.