| Armorkny vs Kazuya | 29–32 | 47.54% |
| Armorkny vs King | 23–19 | 54.76% |
| Armorkny vs Jin | 25–17 | 59.52% |
| Armorkny vs Hwoarang | 30–11 | 73.17% |
| Armorkny vs Bryan | 17–19 | 47.22% |
| Armorkny vs Dragunov | 12–15 | 44.44% |
| Armorkny vs Yoshimitsu | 14–12 | 53.85% |
| Armorkny vs Azucena | 10–16 | 38.46% |
| Armorkny vs Xiaoyu | 14–11 | 56.00% |
| Armorkny vs Reina | 11–13 | 45.83% |
| Armorkny vs Heihachi | 13–11 | 54.17% |
| Armorkny vs Lidia | 11–11 | 50.00% |
| Armorkny vs Steve | 5–16 | 23.81% |
| Armorkny vs Lili | 9–12 | 42.86% |
| Armorkny vs Jun | 13–7 | 65.00% |
| Armorkny vs Law | 10–9 | 52.63% |
| Armorkny vs Devil Jin | 10–8 | 55.56% |
| Armorkny vs Victor | 5–10 | 33.33% |
| Armorkny vs Lee | 6–8 | 42.86% |
| Armorkny vs Eddy | 6–8 | 42.86% |
| Armorkny vs Feng | 6–6 | 50.00% |
| Armorkny vs Asuka | 5–6 | 45.45% |
| Armorkny vs Leo | 5–6 | 45.45% |
| Armorkny vs Nina | 4–7 | 36.36% |
| Armorkny vs Paul | 8–2 | 80.00% |
| Armorkny vs Jack-8 | 3–7 | 30.00% |
| Armorkny vs Anna | 6–4 | 60.00% |
| Armorkny vs Alisa | 6–2 | 75.00% |
| Armorkny vs Leroy | 5–2 | 71.43% |
| Armorkny vs Shaheen | 1–5 | 16.67% |
| Armorkny vs Zafina | 5–1 | 83.33% |
| Armorkny vs Lars | 3–2 | 60.00% |
| Armorkny vs Kuma | 2–2 | 50.00% |
| Armorkny vs Clive | 3–1 | 75.00% |
| Armorkny vs Claudio | 3–0 | 100.00% |
| Armorkny vs Raven | 0–2 | 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.