| Jang vs King | 56–58 | 49.12% |
| Jang vs Kazuya | 56–58 | 49.12% |
| Jang vs Bryan | 55–44 | 55.56% |
| Jang vs Jin | 51–45 | 53.12% |
| Jang vs Lidia | 36–43 | 45.57% |
| Jang vs Steve | 34–37 | 47.89% |
| Jang vs Reina | 29–39 | 42.65% |
| Jang vs Hwoarang | 29–36 | 44.62% |
| Jang vs Yoshimitsu | 36–17 | 67.92% |
| Jang vs Dragunov | 22–30 | 42.31% |
| Jang vs Azucena | 28–22 | 56.00% |
| Jang vs Paul | 25–23 | 52.08% |
| Jang vs Xiaoyu | 21–27 | 43.75% |
| Jang vs Nina | 19–29 | 39.58% |
| Jang vs Asuka | 23–23 | 50.00% |
| Jang vs Law | 24–20 | 54.55% |
| Jang vs Lars | 21–23 | 47.73% |
| Jang vs Lee | 30–14 | 68.18% |
| Jang vs Heihachi | 31–13 | 70.45% |
| Jang vs Jun | 21–22 | 48.84% |
| Jang vs Victor | 16–21 | 43.24% |
| Jang vs Devil Jin | 14–22 | 38.89% |
| Jang vs Lili | 19–16 | 54.29% |
| Jang vs Claudio | 18–16 | 52.94% |
| Jang vs Raven | 12–22 | 35.29% |
| Jang vs Feng | 13–20 | 39.39% |
| Jang vs Eddy | 16–17 | 48.48% |
| Jang vs Leo | 14–15 | 48.28% |
| Jang vs Jack-8 | 10–17 | 37.04% |
| Jang vs Alisa | 14–12 | 53.85% |
| Jang vs Leroy | 13–13 | 50.00% |
| Jang vs Clive | 8–15 | 34.78% |
| Jang vs Kuma | 14–8 | 63.64% |
| Jang vs Zafina | 5–9 | 35.71% |
| Jang vs Shaheen | 3–5 | 37.50% |
| Jang vs Fahkumram | 2–2 | 50.00% |
| Jang vs Panda | 2–1 | 66.67% |
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.