| Jhun-kun vs Jin | 75–45 | 62.50% |
| Jhun-kun vs Bryan | 39–47 | 45.35% |
| Jhun-kun vs Law | 44–41 | 51.76% |
| Jhun-kun vs Heihachi | 29–53 | 35.37% |
| Jhun-kun vs Asuka | 37–44 | 45.68% |
| Jhun-kun vs Kazuya | 32–44 | 42.11% |
| Jhun-kun vs King | 35–37 | 48.61% |
| Jhun-kun vs Armor King | 29–29 | 50.00% |
| Jhun-kun vs Hwoarang | 21–27 | 43.75% |
| Jhun-kun vs Dragunov | 27–21 | 56.25% |
| Jhun-kun vs Lili | 18–26 | 40.91% |
| Jhun-kun vs Anna | 22–22 | 50.00% |
| Jhun-kun vs Reina | 15–23 | 39.47% |
| Jhun-kun vs Yoshimitsu | 17–20 | 45.95% |
| Jhun-kun vs Lars | 18–18 | 50.00% |
| Jhun-kun vs Xiaoyu | 16–19 | 45.71% |
| Jhun-kun vs Azucena | 16–18 | 47.06% |
| Jhun-kun vs Steve | 16–16 | 50.00% |
| Jhun-kun vs Jun | 20–12 | 62.50% |
| Jhun-kun vs Victor | 14–18 | 43.75% |
| Jhun-kun vs Fahkumram | 13–19 | 40.62% |
| Jhun-kun vs Eddy | 16–11 | 59.26% |
| Jhun-kun vs Feng | 13–13 | 50.00% |
| Jhun-kun vs Alisa | 14–12 | 53.85% |
| Jhun-kun vs Miary Zo | 7–16 | 30.43% |
| Jhun-kun vs Lee | 11–11 | 50.00% |
| Jhun-kun vs Paul | 5–15 | 25.00% |
| Jhun-kun vs Leroy | 9–10 | 47.37% |
| Jhun-kun vs Lidia | 8–11 | 42.11% |
| Jhun-kun vs Clive | 13–5 | 72.22% |
| Jhun-kun vs Nina | 11–6 | 64.71% |
| Jhun-kun vs Kuma | 12–5 | 70.59% |
| Jhun-kun vs Leo | 2–14 | 12.50% |
| Jhun-kun vs Claudio | 6–8 | 42.86% |
| Jhun-kun vs Jack-8 | 2–10 | 16.67% |
| Jhun-kun vs Devil Jin | 1–7 | 12.50% |
| Jhun-kun vs Panda | 1–3 | 25.00% |
| Jhun-kun vs Raven | 2–2 | 50.00% |
| Jhun-kun vs Shaheen | 1–2 | 33.33% |
| Jhun-kun vs Zafina | 1–1 | 50.00% |
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.