| Woong vs King | 36–18 | 66.67% |
| Woong vs Dragunov | 29–20 | 59.18% |
| Woong vs Jin | 21–21 | 50.00% |
| Woong vs Xiaoyu | 14–12 | 53.85% |
| Woong vs Kazuya | 12–12 | 50.00% |
| Woong vs Paul | 15–8 | 65.22% |
| Woong vs Bryan | 15–8 | 65.22% |
| Woong vs Jack-8 | 11–12 | 47.83% |
| Woong vs Hwoarang | 10–12 | 45.45% |
| Woong vs Leo | 9–13 | 40.91% |
| Woong vs Reina | 14–8 | 63.64% |
| Woong vs Law | 9–12 | 42.86% |
| Woong vs Lili | 14–7 | 66.67% |
| Woong vs Lee | 13–7 | 65.00% |
| Woong vs Steve | 13–6 | 68.42% |
| Woong vs Asuka | 11–8 | 57.89% |
| Woong vs Devil Jin | 9–10 | 47.37% |
| Woong vs Yoshimitsu | 9–8 | 52.94% |
| Woong vs Kuma | 7–9 | 43.75% |
| Woong vs Raven | 7–8 | 46.67% |
| Woong vs Alisa | 5–8 | 38.46% |
| Woong vs Jun | 8–5 | 61.54% |
| Woong vs Lars | 5–7 | 41.67% |
| Woong vs Azucena | 9–3 | 75.00% |
| Woong vs Nina | 4–7 | 36.36% |
| Woong vs Victor | 3–8 | 27.27% |
| Woong vs Feng | 6–4 | 60.00% |
| Woong vs Claudio | 4–4 | 50.00% |
| Woong vs Heihachi | 4–4 | 50.00% |
| Woong vs Zafina | 3–2 | 60.00% |
| Woong vs Leroy | 2–3 | 40.00% |
| Woong vs Eddy | 2–3 | 40.00% |
| Woong vs Lidia | 3–1 | 75.00% |
| Woong vs Panda | 1–2 | 33.33% |
| Woong vs Armor King | 3–0 | 100.00% |
| Woong vs Miary Zo | 2–1 | 66.67% |
| Woong vs Anna | 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.