| JJang vs Kazuya | 44–49 | 47.31% |
| JJang vs Reina | 48–42 | 53.33% |
| JJang vs Dragunov | 39–46 | 45.88% |
| JJang vs King | 31–38 | 44.93% |
| JJang vs Bryan | 26–38 | 40.62% |
| JJang vs Paul | 34–25 | 57.63% |
| JJang vs Hwoarang | 31–26 | 54.39% |
| JJang vs Jin | 19–37 | 33.93% |
| JJang vs Steve | 26–29 | 47.27% |
| JJang vs Clive | 21–30 | 41.18% |
| JJang vs Asuka | 15–33 | 31.25% |
| JJang vs Victor | 20–19 | 51.28% |
| JJang vs Law | 23–14 | 62.16% |
| JJang vs Lili | 14–22 | 38.89% |
| JJang vs Yoshimitsu | 15–20 | 42.86% |
| JJang vs Jun | 15–16 | 48.39% |
| JJang vs Nina | 10–19 | 34.48% |
| JJang vs Alisa | 4–24 | 14.29% |
| JJang vs Azucena | 11–14 | 44.00% |
| JJang vs Heihachi | 8–16 | 33.33% |
| JJang vs Jack-8 | 3–19 | 13.64% |
| JJang vs Lars | 10–12 | 45.45% |
| JJang vs Claudio | 11–11 | 50.00% |
| JJang vs Xiaoyu | 8–12 | 40.00% |
| JJang vs Leo | 10–10 | 50.00% |
| JJang vs Kuma | 8–10 | 44.44% |
| JJang vs Devil Jin | 10–6 | 62.50% |
| JJang vs Eddy | 7–9 | 43.75% |
| JJang vs Lee | 0–15 | 0.00% |
| JJang vs Lidia | 5–8 | 38.46% |
| JJang vs Shaheen | 5–7 | 41.67% |
| JJang vs Feng | 7–3 | 70.00% |
| JJang vs Zafina | 4–6 | 40.00% |
| JJang vs Raven | 6–3 | 66.67% |
| JJang vs Fahkumram | 3–5 | 37.50% |
| JJang vs Leroy | 3–4 | 42.86% |
| JJang vs Panda | 2–2 | 50.00% |
| JJang vs Anna | 3–0 | 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.