| JUNGBALSAN vs Bryan | 18–17 | 51.43% |
| JUNGBALSAN vs Kazuya | 20–9 | 68.97% |
| JUNGBALSAN vs Reina | 23–6 | 79.31% |
| JUNGBALSAN vs Steve | 15–10 | 60.00% |
| JUNGBALSAN vs Hwoarang | 5–11 | 31.25% |
| JUNGBALSAN vs Dragunov | 9–7 | 56.25% |
| JUNGBALSAN vs Lars | 10–5 | 66.67% |
| JUNGBALSAN vs Claudio | 7–8 | 46.67% |
| JUNGBALSAN vs Jun | 7–7 | 50.00% |
| JUNGBALSAN vs Leroy | 7–6 | 53.85% |
| JUNGBALSAN vs Paul | 3–9 | 25.00% |
| JUNGBALSAN vs King | 6–6 | 50.00% |
| JUNGBALSAN vs Jin | 6–6 | 50.00% |
| JUNGBALSAN vs Lili | 8–4 | 66.67% |
| JUNGBALSAN vs Alisa | 8–3 | 72.73% |
| JUNGBALSAN vs Shaheen | 7–4 | 63.64% |
| JUNGBALSAN vs Azucena | 7–4 | 63.64% |
| JUNGBALSAN vs Xiaoyu | 7–3 | 70.00% |
| JUNGBALSAN vs Victor | 4–6 | 40.00% |
| JUNGBALSAN vs Kuma | 4–5 | 44.44% |
| JUNGBALSAN vs Law | 5–3 | 62.50% |
| JUNGBALSAN vs Leo | 3–5 | 37.50% |
| JUNGBALSAN vs Nina | 5–3 | 62.50% |
| JUNGBALSAN vs Anna | 4–4 | 50.00% |
| JUNGBALSAN vs Yoshimitsu | 4–3 | 57.14% |
| JUNGBALSAN vs Heihachi | 3–4 | 42.86% |
| JUNGBALSAN vs Clive | 1–6 | 14.29% |
| JUNGBALSAN vs Asuka | 3–3 | 50.00% |
| JUNGBALSAN vs Jack-8 | 1–4 | 20.00% |
| JUNGBALSAN vs Lee | 2–3 | 40.00% |
| JUNGBALSAN vs Lidia | 3–1 | 75.00% |
| JUNGBALSAN vs Fahkumram | 2–2 | 50.00% |
| JUNGBALSAN vs Devil Jin | 0–2 | 0.00% |
| JUNGBALSAN vs Feng | 2–0 | 100.00% |
| JUNGBALSAN vs Panda | 2–0 | 100.00% |
| JUNGBALSAN vs Zafina | 2–0 | 100.00% |
| JUNGBALSAN vs Raven | 2–0 | 100.00% |
| JUNGBALSAN vs Eddy | 0–2 | 0.00% |
| JUNGBALSAN vs Miary Zo | 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.