| Kimchee vs Kazuya | 148–96 | 60.66% |
| Kimchee vs Bryan | 137–105 | 56.61% |
| Kimchee vs Lee | 112–104 | 51.85% |
| Kimchee vs Hwoarang | 151–60 | 71.56% |
| Kimchee vs Heihachi | 108–101 | 51.67% |
| Kimchee vs Dragunov | 119–86 | 58.05% |
| Kimchee vs Reina | 108–76 | 58.70% |
| Kimchee vs Jin | 101–81 | 55.49% |
| Kimchee vs Law | 93–64 | 59.24% |
| Kimchee vs King | 92–59 | 60.93% |
| Kimchee vs Steve | 90–54 | 62.50% |
| Kimchee vs Devil Jin | 74–69 | 51.75% |
| Kimchee vs Paul | 75–55 | 57.69% |
| Kimchee vs Lili | 74–55 | 57.36% |
| Kimchee vs Azucena | 68–50 | 57.63% |
| Kimchee vs Lars | 58–57 | 50.43% |
| Kimchee vs Jun | 57–55 | 50.89% |
| Kimchee vs Fahkumram | 66–46 | 58.93% |
| Kimchee vs Yoshimitsu | 65–46 | 58.56% |
| Kimchee vs Victor | 50–57 | 46.73% |
| Kimchee vs Asuka | 49–52 | 48.51% |
| Kimchee vs Nina | 43–54 | 44.33% |
| Kimchee vs Feng | 56–39 | 58.95% |
| Kimchee vs Jack-8 | 52–40 | 56.52% |
| Kimchee vs Leo | 44–46 | 48.89% |
| Kimchee vs Raven | 46–42–1 | 52.27% |
| Kimchee vs Lidia | 41–41 | 50.00% |
| Kimchee vs Eddy | 43–38 | 53.09% |
| Kimchee vs Zafina | 28–52 | 35.00% |
| Kimchee vs Armor King | 36–37 | 49.32% |
| Kimchee vs Xiaoyu | 29–43 | 40.28% |
| Kimchee vs Claudio | 39–30 | 56.52% |
| Kimchee vs Leroy | 26–42 | 38.24% |
| Kimchee vs Alisa | 24–27 | 47.06% |
| Kimchee vs Kuma | 14–26 | 35.00% |
| Kimchee vs Shaheen | 12–24 | 33.33% |
| Kimchee vs Anna | 14–19 | 42.42% |
| Kimchee vs Clive | 18–13 | 58.06% |
| Kimchee vs Miary Zo | 14–14 | 50.00% |
| Kimchee vs Panda | 4–12 | 25.00% |
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.