| superzix vs Jin | 66–98 | 40.24% |
| superzix vs King | 77–74 | 50.99% |
| superzix vs Law | 54–57 | 48.65% |
| superzix vs Kazuya | 61–47 | 56.48% |
| superzix vs Bryan | 59–41 | 59.00% |
| superzix vs Paul | 40–35 | 53.33% |
| superzix vs Dragunov | 33–30 | 52.38% |
| superzix vs Heihachi | 26–34 | 43.33% |
| superzix vs Eddy | 40–18 | 68.97% |
| superzix vs Steve | 32–25 | 56.14% |
| superzix vs Devil Jin | 20–37 | 35.09% |
| superzix vs Yoshimitsu | 25–30 | 45.45% |
| superzix vs Hwoarang | 32–19 | 62.75% |
| superzix vs Asuka | 19–25 | 43.18% |
| superzix vs Nina | 17–27 | 38.64% |
| superzix vs Victor | 21–23 | 47.73% |
| superzix vs Reina | 19–24 | 44.19% |
| superzix vs Clive | 27–16 | 62.79% |
| superzix vs Jun | 18–20 | 47.37% |
| superzix vs Feng | 14–11 | 56.00% |
| superzix vs Alisa | 8–16 | 33.33% |
| superzix vs Fahkumram | 14–10 | 58.33% |
| superzix vs Anna | 14–9 | 60.87% |
| superzix vs Armor King | 9–14 | 39.13% |
| superzix vs Lee | 10–12 | 45.45% |
| superzix vs Lili | 12–9 | 57.14% |
| superzix vs Kuma | 7–14 | 33.33% |
| superzix vs Azucena | 10–10 | 50.00% |
| superzix vs Lars | 6–10 | 37.50% |
| superzix vs Leroy | 7–9 | 43.75% |
| superzix vs Raven | 6–7 | 46.15% |
| superzix vs Jack-8 | 5–7 | 41.67% |
| superzix vs Lidia | 6–6 | 50.00% |
| superzix vs Claudio | 2–9 | 18.18% |
| superzix vs Xiaoyu | 4–6 | 40.00% |
| superzix vs Shaheen | 7–1 | 87.50% |
| superzix vs Leo | 6–1 | 85.71% |
| superzix vs Zafina | 4–2 | 66.67% |
| superzix vs Miary Zo | 2–2 | 50.00% |
| superzix vs Panda | 1–2 | 33.33% |
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.