| hongsik vs Clive | 23–34 | 40.35% |
| hongsik vs Reina | 23–22 | 51.11% |
| hongsik vs Jin | 13–23 | 36.11% |
| hongsik vs Dragunov | 16–18 | 47.06% |
| hongsik vs Paul | 11–22 | 33.33% |
| hongsik vs Law | 13–19 | 40.62% |
| hongsik vs Kazuya | 12–18 | 40.00% |
| hongsik vs Lili | 12–18 | 40.00% |
| hongsik vs Bryan | 14–14 | 50.00% |
| hongsik vs Yoshimitsu | 5–20 | 20.00% |
| hongsik vs Hwoarang | 6–19 | 24.00% |
| hongsik vs Xiaoyu | 9–15 | 37.50% |
| hongsik vs King | 9–12 | 42.86% |
| hongsik vs Devil Jin | 14–7 | 66.67% |
| hongsik vs Victor | 8–13 | 38.10% |
| hongsik vs Asuka | 11–8–1 | 57.89% |
| hongsik vs Lidia | 10–9 | 52.63% |
| hongsik vs Heihachi | 10–8 | 55.56% |
| hongsik vs Steve | 9–8 | 52.94% |
| hongsik vs Jun | 7–10 | 41.18% |
| hongsik vs Azucena | 7–10 | 41.18% |
| hongsik vs Feng | 5–10 | 33.33% |
| hongsik vs Lee | 9–6 | 60.00% |
| hongsik vs Nina | 7–7 | 50.00% |
| hongsik vs Alisa | 4–9 | 30.77% |
| hongsik vs Leroy | 10–3 | 76.92% |
| hongsik vs Leo | 9–3 | 75.00% |
| hongsik vs Panda | 3–8 | 27.27% |
| hongsik vs Jack-8 | 2–7 | 22.22% |
| hongsik vs Kuma | 0–5 | 0.00% |
| hongsik vs Claudio | 3–1 | 75.00% |
| hongsik vs Zafina | 2–1 | 66.67% |
| hongsik vs Eddy | 0–3 | 0.00% |
| hongsik vs Shaheen | 0–2 | 0.00% |
| hongsik vs Lars | 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.