| jangjihwan vs Armor King | 45–76 | 37.19% |
| jangjihwan vs Kazuya | 33–69 | 32.35% |
| jangjihwan vs Jin | 35–54 | 39.33% |
| jangjihwan vs Paul | 36–45 | 44.44% |
| jangjihwan vs Dragunov | 31–42 | 42.47% |
| jangjihwan vs King | 25–46 | 35.21% |
| jangjihwan vs Hwoarang | 35–36 | 49.30% |
| jangjihwan vs Reina | 36–34 | 51.43% |
| jangjihwan vs Bryan | 20–47 | 29.85% |
| jangjihwan vs Asuka | 24–29 | 45.28% |
| jangjihwan vs Fahkumram | 25–25 | 50.00% |
| jangjihwan vs Lili | 21–27 | 43.75% |
| jangjihwan vs Steve | 20–26 | 43.48% |
| jangjihwan vs Jun | 19–26 | 42.22% |
| jangjihwan vs Miary Zo | 19–23 | 45.24% |
| jangjihwan vs Yoshimitsu | 15–19 | 44.12% |
| jangjihwan vs Heihachi | 11–23 | 32.35% |
| jangjihwan vs Law | 17–16 | 51.52% |
| jangjihwan vs Leo | 10–21 | 32.26% |
| jangjihwan vs Claudio | 10–20 | 33.33% |
| jangjihwan vs Eddy | 10–19 | 34.48% |
| jangjihwan vs Devil Jin | 15–13 | 53.57% |
| jangjihwan vs Victor | 14–14 | 50.00% |
| jangjihwan vs Clive | 15–12 | 55.56% |
| jangjihwan vs Xiaoyu | 10–16 | 38.46% |
| jangjihwan vs Lars | 10–14 | 41.67% |
| jangjihwan vs Lidia | 7–17 | 29.17% |
| jangjihwan vs Azucena | 9–14 | 39.13% |
| jangjihwan vs Anna | 11–12 | 47.83% |
| jangjihwan vs Lee | 9–11 | 45.00% |
| jangjihwan vs Leroy | 5–12 | 29.41% |
| jangjihwan vs Alisa | 5–11 | 31.25% |
| jangjihwan vs Zafina | 7–6 | 53.85% |
| jangjihwan vs Kuma | 8–3 | 72.73% |
| jangjihwan vs Feng | 3–7 | 30.00% |
| jangjihwan vs Jack-8 | 3–6 | 33.33% |
| jangjihwan vs Raven | 3–6 | 33.33% |
| jangjihwan vs Shaheen | 1–6 | 14.29% |
| jangjihwan vs Panda | 3–4 | 42.86% |
| jangjihwan vs Nina | 2–4 | 33.33% |
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.