| Jhun vs Jin | 47–2 | 95.92% |
| Jhun vs Dragunov | 34–14 | 70.83% |
| Jhun vs King | 41–4 | 91.11% |
| Jhun vs Kazuya | 35–6 | 85.37% |
| Jhun vs Reina | 29–1 | 96.67% |
| Jhun vs Steve | 27–2 | 93.10% |
| Jhun vs Law | 17–7 | 70.83% |
| Jhun vs Eddy | 24–0 | 100.00% |
| Jhun vs Heihachi | 16–4 | 80.00% |
| Jhun vs Bryan | 17–0 | 100.00% |
| Jhun vs Lili | 17–0 | 100.00% |
| Jhun vs Armor King | 12–5 | 70.59% |
| Jhun vs Xiaoyu | 13–2 | 86.67% |
| Jhun vs Lars | 13–2 | 86.67% |
| Jhun vs Azucena | 14–1 | 93.33% |
| Jhun vs Paul | 10–4 | 71.43% |
| Jhun vs Jack-8 | 12–2 | 85.71% |
| Jhun vs Asuka | 14–0 | 100.00% |
| Jhun vs Hwoarang | 10–2 | 83.33% |
| Jhun vs Clive | 9–3 | 75.00% |
| Jhun vs Yoshimitsu | 7–4 | 63.64% |
| Jhun vs Leo | 11–0 | 100.00% |
| Jhun vs Nina | 8–3 | 72.73% |
| Jhun vs Alisa | 9–1 | 90.00% |
| Jhun vs Lee | 9–1 | 90.00% |
| Jhun vs Lidia | 6–4 | 60.00% |
| Jhun vs Anna | 3–7 | 30.00% |
| Jhun vs Devil Jin | 8–1 | 88.89% |
| Jhun vs Kuma | 8–0 | 100.00% |
| Jhun vs Victor | 7–1 | 87.50% |
| Jhun vs Fahkumram | 7–0 | 100.00% |
| Jhun vs Feng | 2–4 | 33.33% |
| Jhun vs Zafina | 5–1 | 83.33% |
| Jhun vs Raven | 6–0 | 100.00% |
| Jhun vs Jun | 3–1 | 75.00% |
| Jhun vs Claudio | 3–0 | 100.00% |
| Jhun vs Shaheen | 0–2 | 0.00% |
| Jhun vs Leroy | 2–0 | 100.00% |
| Jhun vs Panda | 1–0 | 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.