| Kim_Molang vs King | 45–28 | 61.64% |
| Kim_Molang vs Dragunov | 46–24 | 65.71% |
| Kim_Molang vs Kazuya | 47–22 | 68.12% |
| Kim_Molang vs Bryan | 42–24 | 63.64% |
| Kim_Molang vs Steve | 39–26 | 60.00% |
| Kim_Molang vs Jin | 40–23 | 63.49% |
| Kim_Molang vs Hwoarang | 42–16 | 72.41% |
| Kim_Molang vs Fahkumram | 29–23 | 55.77% |
| Kim_Molang vs Paul | 37–14 | 72.55% |
| Kim_Molang vs Asuka | 31–12 | 72.09% |
| Kim_Molang vs Clive | 21–22 | 48.84% |
| Kim_Molang vs Miary Zo | 17–24 | 41.46% |
| Kim_Molang vs Devil Jin | 23–16 | 58.97% |
| Kim_Molang vs Lars | 23–15 | 60.53% |
| Kim_Molang vs Reina | 22–16 | 57.89% |
| Kim_Molang vs Law | 22–15 | 59.46% |
| Kim_Molang vs Jun | 26–10 | 72.22% |
| Kim_Molang vs Feng | 18–10 | 64.29% |
| Kim_Molang vs Azucena | 22–6 | 78.57% |
| Kim_Molang vs Raven | 18–10 | 64.29% |
| Kim_Molang vs Heihachi | 13–14 | 48.15% |
| Kim_Molang vs Lili | 16–10 | 61.54% |
| Kim_Molang vs Claudio | 12–13 | 48.00% |
| Kim_Molang vs Jack-8 | 13–10 | 56.52% |
| Kim_Molang vs Nina | 15–7 | 68.18% |
| Kim_Molang vs Lee | 12–10 | 54.55% |
| Kim_Molang vs Lidia | 16–6 | 72.73% |
| Kim_Molang vs Victor | 15–6 | 71.43% |
| Kim_Molang vs Alisa | 15–2 | 88.24% |
| Kim_Molang vs Xiaoyu | 9–7 | 56.25% |
| Kim_Molang vs Yoshimitsu | 12–3 | 80.00% |
| Kim_Molang vs Leo | 9–6 | 60.00% |
| Kim_Molang vs Leroy | 6–9 | 40.00% |
| Kim_Molang vs Kuma | 6–8 | 42.86% |
| Kim_Molang vs Anna | 6–7 | 46.15% |
| Kim_Molang vs Armor King | 8–3 | 72.73% |
| Kim_Molang vs Panda | 4–2 | 66.67% |
| Kim_Molang vs Zafina | 4–2 | 66.67% |
| Kim_Molang vs Eddy | 0–3 | 0.00% |
| Kim_Molang vs Shaheen | 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.