| jpyj vs King | 64–44 | 59.26% |
| jpyj vs Paul | 40–46 | 46.51% |
| jpyj vs Law | 46–28 | 62.16% |
| jpyj vs Reina | 35–39 | 47.30% |
| jpyj vs Xiaoyu | 35–29 | 54.69% |
| jpyj vs Jin | 26–38 | 40.62% |
| jpyj vs Kazuya | 38–26 | 59.38% |
| jpyj vs Bryan | 30–32 | 48.39% |
| jpyj vs Hwoarang | 32–27 | 54.24% |
| jpyj vs Asuka | 23–27 | 46.00% |
| jpyj vs Lili | 14–26 | 35.00% |
| jpyj vs Clive | 20–17 | 54.05% |
| jpyj vs Yoshimitsu | 17–18 | 48.57% |
| jpyj vs Lars | 11–23 | 32.35% |
| jpyj vs Azucena | 15–19 | 44.12% |
| jpyj vs Steve | 20–11 | 64.52% |
| jpyj vs Dragunov | 15–16 | 48.39% |
| jpyj vs Alisa | 14–17 | 45.16% |
| jpyj vs Heihachi | 14–16 | 46.67% |
| jpyj vs Feng | 16–13 | 55.17% |
| jpyj vs Devil Jin | 10–17 | 37.04% |
| jpyj vs Lee | 3–22 | 12.00% |
| jpyj vs Jun | 12–11 | 52.17% |
| jpyj vs Claudio | 9–12 | 42.86% |
| jpyj vs Jack-8 | 7–12 | 36.84% |
| jpyj vs Victor | 10–9 | 52.63% |
| jpyj vs Leo | 9–8 | 52.94% |
| jpyj vs Leroy | 7–9 | 43.75% |
| jpyj vs Nina | 6–9 | 40.00% |
| jpyj vs Kuma | 6–6 | 50.00% |
| jpyj vs Raven | 7–5 | 58.33% |
| jpyj vs Eddy | 1–10 | 9.09% |
| jpyj vs Anna | 8–3 | 72.73% |
| jpyj vs Lidia | 5–4 | 55.56% |
| jpyj vs Zafina | 3–5 | 37.50% |
| jpyj vs Armor King | 4–3 | 57.14% |
| jpyj vs Shaheen | 1–4 | 20.00% |
| jpyj vs Fahkumram | 0–5 | 0.00% |
| jpyj vs Panda | 0–4 | 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.