| Armored_puma vs King | 22–9 | 70.97% |
| Armored_puma vs Jin | 19–7 | 73.08% |
| Armored_puma vs Bryan | 10–13 | 43.48% |
| Armored_puma vs Kazuya | 15–8 | 65.22% |
| Armored_puma vs Steve | 12–11 | 52.17% |
| Armored_puma vs Hwoarang | 14–5 | 73.68% |
| Armored_puma vs Victor | 12–7 | 63.16% |
| Armored_puma vs Lidia | 13–4 | 76.47% |
| Armored_puma vs Dragunov | 8–8 | 50.00% |
| Armored_puma vs Lee | 10–6 | 62.50% |
| Armored_puma vs Reina | 10–6 | 62.50% |
| Armored_puma vs Yoshimitsu | 10–5 | 66.67% |
| Armored_puma vs Paul | 8–6 | 57.14% |
| Armored_puma vs Lars | 9–4 | 69.23% |
| Armored_puma vs Kuma | 6–7 | 46.15% |
| Armored_puma vs Azucena | 11–1 | 91.67% |
| Armored_puma vs Jun | 5–6 | 45.45% |
| Armored_puma vs Law | 7–3 | 70.00% |
| Armored_puma vs Xiaoyu | 7–3 | 70.00% |
| Armored_puma vs Nina | 4–5 | 44.44% |
| Armored_puma vs Asuka | 4–4 | 50.00% |
| Armored_puma vs Eddy | 6–0 | 100.00% |
| Armored_puma vs Heihachi | 4–2 | 66.67% |
| Armored_puma vs Lili | 2–3 | 40.00% |
| Armored_puma vs Devil Jin | 1–3 | 25.00% |
| Armored_puma vs Alisa | 3–0 | 100.00% |
| Armored_puma vs Claudio | 2–1 | 66.67% |
| Armored_puma vs Feng | 2–0 | 100.00% |
| Armored_puma vs Raven | 1–1 | 50.00% |
| Armored_puma vs Jack-8 | 1–0 | 100.00% |
| Armored_puma vs Leo | 0–1 | 0.00% |
| Armored_puma vs Leroy | 1–0 | 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.