| superdaN vs Bryan | 79–57 | 58.09% |
| superdaN vs Kazuya | 85–44 | 65.89% |
| superdaN vs Dragunov | 62–47 | 56.88% |
| superdaN vs Jin | 54–54 | 50.00% |
| superdaN vs Fahkumram | 54–54 | 50.00% |
| superdaN vs King | 51–35 | 59.30% |
| superdaN vs Reina | 40–45 | 47.06% |
| superdaN vs Hwoarang | 35–46 | 43.21% |
| superdaN vs Lili | 35–44 | 44.30% |
| superdaN vs Heihachi | 39–35 | 52.70% |
| superdaN vs Law | 41–30 | 57.75% |
| superdaN vs Devil Jin | 36–31 | 53.73% |
| superdaN vs Paul | 34–27 | 55.74% |
| superdaN vs Steve | 31–30 | 50.82% |
| superdaN vs Yoshimitsu | 17–34 | 33.33% |
| superdaN vs Armor King | 18–30 | 37.50% |
| superdaN vs Asuka | 16–29 | 35.56% |
| superdaN vs Jun | 16–23 | 41.03% |
| superdaN vs Azucena | 14–21 | 40.00% |
| superdaN vs Xiaoyu | 15–19 | 44.12% |
| superdaN vs Feng | 16–18 | 47.06% |
| superdaN vs Leo | 20–14 | 58.82% |
| superdaN vs Lee | 16–16 | 50.00% |
| superdaN vs Nina | 13–17 | 43.33% |
| superdaN vs Jack-8 | 21–8 | 72.41% |
| superdaN vs Eddy | 17–12 | 58.62% |
| superdaN vs Lars | 12–14 | 46.15% |
| superdaN vs Alisa | 16–9 | 64.00% |
| superdaN vs Lidia | 12–13 | 48.00% |
| superdaN vs Raven | 4–20 | 16.67% |
| superdaN vs Anna | 12–12 | 50.00% |
| superdaN vs Victor | 7–13 | 35.00% |
| superdaN vs Shaheen | 5–13 | 27.78% |
| superdaN vs Claudio | 8–9 | 47.06% |
| superdaN vs Clive | 4–10 | 28.57% |
| superdaN vs Zafina | 5–8 | 38.46% |
| superdaN vs Leroy | 5–7 | 41.67% |
| superdaN vs Kuma | 5–6 | 45.45% |
| superdaN vs Panda | 0–6 | 0.00% |
| superdaN vs Miary Zo | 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.