| Ziadenyo vs Jin | 42–33 | 56.00% |
| Ziadenyo vs Kazuya | 42–31 | 57.53% |
| Ziadenyo vs King | 31–36 | 46.27% |
| Ziadenyo vs Law | 25–27 | 48.08% |
| Ziadenyo vs Eddy | 24–24 | 50.00% |
| Ziadenyo vs Reina | 25–22 | 53.19% |
| Ziadenyo vs Bryan | 12–24 | 33.33% |
| Ziadenyo vs Dragunov | 17–19 | 47.22% |
| Ziadenyo vs Azucena | 21–12 | 63.64% |
| Ziadenyo vs Hwoarang | 20–12 | 62.50% |
| Ziadenyo vs Devil Jin | 11–21 | 34.38% |
| Ziadenyo vs Feng | 16–15 | 51.61% |
| Ziadenyo vs Steve | 20–10 | 66.67% |
| Ziadenyo vs Paul | 14–11 | 56.00% |
| Ziadenyo vs Lili | 7–14 | 33.33% |
| Ziadenyo vs Alisa | 7–12 | 36.84% |
| Ziadenyo vs Nina | 7–11 | 38.89% |
| Ziadenyo vs Yoshimitsu | 8–9 | 47.06% |
| Ziadenyo vs Claudio | 7–9 | 43.75% |
| Ziadenyo vs Asuka | 6–9 | 40.00% |
| Ziadenyo vs Zafina | 13–2 | 86.67% |
| Ziadenyo vs Lee | 6–8 | 42.86% |
| Ziadenyo vs Victor | 6–7 | 46.15% |
| Ziadenyo vs Raven | 8–5 | 61.54% |
| Ziadenyo vs Lars | 9–3 | 75.00% |
| Ziadenyo vs Kuma | 7–4 | 63.64% |
| Ziadenyo vs Jun | 6–2 | 75.00% |
| Ziadenyo vs Jack-8 | 4–3 | 57.14% |
| Ziadenyo vs Leroy | 4–3 | 57.14% |
| Ziadenyo vs Leo | 1–4 | 20.00% |
| Ziadenyo vs Xiaoyu | 4–0 | 100.00% |
| Ziadenyo vs Shaheen | 3–1 | 75.00% |
| Ziadenyo vs Heihachi | 2–2 | 50.00% |
| Ziadenyo vs Panda | 1–2 | 33.33% |
| Ziadenyo vs Lidia | 2–0 | 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.