| ImHimOD vs Eddy | 21–30 | 41.18% |
| ImHimOD vs Heihachi | 29–9 | 76.32% |
| ImHimOD vs Jin | 25–12 | 67.57% |
| ImHimOD vs Kazuya | 21–15 | 58.33% |
| ImHimOD vs Law | 23–11 | 67.65% |
| ImHimOD vs King | 22–11 | 66.67% |
| ImHimOD vs Steve | 17–16 | 51.52% |
| ImHimOD vs Victor | 15–13–1 | 53.57% |
| ImHimOD vs Hwoarang | 17–8 | 68.00% |
| ImHimOD vs Bryan | 15–9 | 62.50% |
| ImHimOD vs Dragunov | 15–8 | 65.22% |
| ImHimOD vs Reina | 18–5 | 78.26% |
| ImHimOD vs Paul | 3–16 | 15.79% |
| ImHimOD vs Yoshimitsu | 10–9 | 52.63% |
| ImHimOD vs Nina | 9–9 | 50.00% |
| ImHimOD vs Lidia | 14–4 | 77.78% |
| ImHimOD vs Lee | 9–8 | 52.94% |
| ImHimOD vs Feng | 9–6 | 60.00% |
| ImHimOD vs Jun | 10–5 | 66.67% |
| ImHimOD vs Lili | 2–11 | 15.38% |
| ImHimOD vs Azucena | 8–5 | 61.54% |
| ImHimOD vs Lars | 4–8 | 33.33% |
| ImHimOD vs Xiaoyu | 6–5 | 54.55% |
| ImHimOD vs Zafina | 5–6 | 45.45% |
| ImHimOD vs Leroy | 8–2 | 80.00% |
| ImHimOD vs Clive | 8–2 | 80.00% |
| ImHimOD vs Devil Jin | 6–3 | 66.67% |
| ImHimOD vs Claudio | 6–3 | 66.67% |
| ImHimOD vs Asuka | 3–4 | 42.86% |
| ImHimOD vs Leo | 2–5 | 28.57% |
| ImHimOD vs Jack-8 | 4–2 | 66.67% |
| ImHimOD vs Alisa | 4–1 | 80.00% |
| ImHimOD vs Raven | 3–1 | 75.00% |
| ImHimOD vs Shaheen | 3–0 | 100.00% |
| ImHimOD vs Kuma | 1–2 | 33.33% |
| ImHimOD vs Anna | 2–1 | 66.67% |
| ImHimOD 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.