| JJAKSUNJANG vs Dragunov | 28–10 | 73.68% |
| JJAKSUNJANG vs Reina | 21–10 | 67.74% |
| JJAKSUNJANG vs Paul | 16–12 | 57.14% |
| JJAKSUNJANG vs Kazuya | 19–8 | 70.37% |
| JJAKSUNJANG vs King | 16–8 | 66.67% |
| JJAKSUNJANG vs Jin | 7–15 | 31.82% |
| JJAKSUNJANG vs Hwoarang | 11–10 | 52.38% |
| JJAKSUNJANG vs Jun | 15–4 | 78.95% |
| JJAKSUNJANG vs Asuka | 7–10 | 41.18% |
| JJAKSUNJANG vs Yoshimitsu | 3–11 | 21.43% |
| JJAKSUNJANG vs Bryan | 7–7 | 50.00% |
| JJAKSUNJANG vs Steve | 9–5 | 64.29% |
| JJAKSUNJANG vs Nina | 8–6 | 57.14% |
| JJAKSUNJANG vs Law | 6–7 | 46.15% |
| JJAKSUNJANG vs Alisa | 6–7 | 46.15% |
| JJAKSUNJANG vs Victor | 9–3 | 75.00% |
| JJAKSUNJANG vs Heihachi | 7–5 | 58.33% |
| JJAKSUNJANG vs Clive | 7–5 | 58.33% |
| JJAKSUNJANG vs Lili | 8–3 | 72.73% |
| JJAKSUNJANG vs Claudio | 6–5 | 54.55% |
| JJAKSUNJANG vs Leo | 4–6 | 40.00% |
| JJAKSUNJANG vs Xiaoyu | 8–0 | 100.00% |
| JJAKSUNJANG vs Lars | 4–4 | 50.00% |
| JJAKSUNJANG vs Eddy | 5–3 | 62.50% |
| JJAKSUNJANG vs Jack-8 | 4–3 | 57.14% |
| JJAKSUNJANG vs Azucena | 4–3 | 57.14% |
| JJAKSUNJANG vs Devil Jin | 2–4 | 33.33% |
| JJAKSUNJANG vs Feng | 3–3 | 50.00% |
| JJAKSUNJANG vs Kuma | 2–3 | 40.00% |
| JJAKSUNJANG vs Lee | 2–2 | 50.00% |
| JJAKSUNJANG vs Raven | 3–1 | 75.00% |
| JJAKSUNJANG vs Shaheen | 3–0 | 100.00% |
| JJAKSUNJANG vs Zafina | 2–1 | 66.67% |
| JJAKSUNJANG vs Anna | 2–1 | 66.67% |
| JJAKSUNJANG vs Fahkumram | 2–1 | 66.67% |
| JJAKSUNJANG vs Leroy | 1–1 | 50.00% |
| JJAKSUNJANG vs Lidia | 1–1 | 50.00% |
| JJAKSUNJANG vs Armor King | 0–1 | 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.