| isuperdinny vs Kazuya | 22–20 | 52.38% |
| isuperdinny vs Reina | 21–15 | 58.33% |
| isuperdinny vs King | 22–12 | 64.71% |
| isuperdinny vs Hwoarang | 16–17 | 48.48% |
| isuperdinny vs Jin | 18–13 | 58.06% |
| isuperdinny vs Bryan | 16–12 | 57.14% |
| isuperdinny vs Law | 11–13 | 45.83% |
| isuperdinny vs Yoshimitsu | 13–11 | 54.17% |
| isuperdinny vs Lee | 9–11 | 45.00% |
| isuperdinny vs Eddy | 6–13 | 31.58% |
| isuperdinny vs Paul | 6–9 | 40.00% |
| isuperdinny vs Steve | 9–6 | 60.00% |
| isuperdinny vs Lili | 9–6 | 60.00% |
| isuperdinny vs Dragunov | 5–7 | 41.67% |
| isuperdinny vs Victor | 3–9 | 25.00% |
| isuperdinny vs Leroy | 6–4 | 60.00% |
| isuperdinny vs Jack-8 | 7–2 | 77.78% |
| isuperdinny vs Kuma | 6–2 | 75.00% |
| isuperdinny vs Azucena | 4–4 | 50.00% |
| isuperdinny vs Lidia | 7–1 | 87.50% |
| isuperdinny vs Clive | 5–3 | 62.50% |
| isuperdinny vs Devil Jin | 2–5 | 28.57% |
| isuperdinny vs Asuka | 3–3 | 50.00% |
| isuperdinny vs Claudio | 4–2 | 66.67% |
| isuperdinny vs Feng | 4–1 | 80.00% |
| isuperdinny vs Alisa | 4–1 | 80.00% |
| isuperdinny vs Nina | 1–4 | 20.00% |
| isuperdinny vs Jun | 4–1 | 80.00% |
| isuperdinny vs Leo | 2–2 | 50.00% |
| isuperdinny vs Lars | 2–2 | 50.00% |
| isuperdinny vs Panda | 3–1 | 75.00% |
| isuperdinny vs Heihachi | 0–4 | 0.00% |
| isuperdinny vs Shaheen | 2–0 | 100.00% |
| isuperdinny vs Raven | 0–2 | 0.00% |
| isuperdinny vs Armor King | 2–0 | 100.00% |
| isuperdinny vs Xiaoyu | 1–0 | 100.00% |
| isuperdinny vs Zafina | 1–0 | 100.00% |
| isuperdinny vs Anna | 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.