| KIMWOOCHAN vs Hwoarang | 80–78 | 50.63% |
| KIMWOOCHAN vs Kazuya | 52–70 | 42.62% |
| KIMWOOCHAN vs Dragunov | 53–49 | 51.96% |
| KIMWOOCHAN vs Paul | 49–48 | 50.52% |
| KIMWOOCHAN vs Bryan | 39–57 | 40.62% |
| KIMWOOCHAN vs Reina | 53–43 | 55.21% |
| KIMWOOCHAN vs King | 53–39 | 57.61% |
| KIMWOOCHAN vs Jin | 39–44 | 46.99% |
| KIMWOOCHAN vs Victor | 45–24 | 65.22% |
| KIMWOOCHAN vs Steve | 29–35 | 45.31% |
| KIMWOOCHAN vs Devil Jin | 29–31 | 48.33% |
| KIMWOOCHAN vs Lili | 25–35 | 41.67% |
| KIMWOOCHAN vs Claudio | 24–35 | 40.68% |
| KIMWOOCHAN vs Law | 25–33 | 43.10% |
| KIMWOOCHAN vs Feng | 26–30 | 46.43% |
| KIMWOOCHAN vs Azucena | 26–29 | 47.27% |
| KIMWOOCHAN vs Asuka | 26–28 | 48.15% |
| KIMWOOCHAN vs Yoshimitsu | 25–28 | 47.17% |
| KIMWOOCHAN vs Lars | 19–32 | 37.25% |
| KIMWOOCHAN vs Nina | 24–25 | 48.98% |
| KIMWOOCHAN vs Eddy | 19–23–1 | 45.24% |
| KIMWOOCHAN vs Lee | 15–24 | 38.46% |
| KIMWOOCHAN vs Jun | 20–17 | 54.05% |
| KIMWOOCHAN vs Xiaoyu | 24–10 | 70.59% |
| KIMWOOCHAN vs Alisa | 12–20 | 37.50% |
| KIMWOOCHAN vs Leroy | 15–17 | 46.88% |
| KIMWOOCHAN vs Heihachi | 21–11 | 65.62% |
| KIMWOOCHAN vs Clive | 14–18 | 43.75% |
| KIMWOOCHAN vs Jack-8 | 11–16 | 40.74% |
| KIMWOOCHAN vs Raven | 15–9 | 62.50% |
| KIMWOOCHAN vs Shaheen | 9–14 | 39.13% |
| KIMWOOCHAN vs Kuma | 13–5 | 72.22% |
| KIMWOOCHAN vs Lidia | 11–6 | 64.71% |
| KIMWOOCHAN vs Leo | 8–8 | 50.00% |
| KIMWOOCHAN vs Zafina | 11–2 | 84.62% |
| KIMWOOCHAN vs Anna | 5–5 | 50.00% |
| KIMWOOCHAN vs Panda | 1–4 | 20.00% |
| KIMWOOCHAN vs Armor King | 2–1 | 66.67% |
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.