| KR_Clown vs Kazuya | 28–29 | 49.12% |
| KR_Clown vs Reina | 22–17 | 56.41% |
| KR_Clown vs Paul | 17–20 | 45.95% |
| KR_Clown vs Jin | 15–20 | 42.86% |
| KR_Clown vs King | 13–21 | 38.24% |
| KR_Clown vs Dragunov | 18–14 | 56.25% |
| KR_Clown vs Hwoarang | 17–14 | 54.84% |
| KR_Clown vs Asuka | 18–13 | 58.06% |
| KR_Clown vs Steve | 13–14 | 48.15% |
| KR_Clown vs Yoshimitsu | 7–13 | 35.00% |
| KR_Clown vs Azucena | 7–12 | 36.84% |
| KR_Clown vs Devil Jin | 9–9 | 50.00% |
| KR_Clown vs Nina | 6–11 | 35.29% |
| KR_Clown vs Lars | 9–7 | 56.25% |
| KR_Clown vs Alisa | 9–6 | 60.00% |
| KR_Clown vs Eddy | 12–3 | 80.00% |
| KR_Clown vs Bryan | 5–9 | 35.71% |
| KR_Clown vs Lidia | 7–7 | 50.00% |
| KR_Clown vs Law | 1–12 | 7.69% |
| KR_Clown vs Lili | 5–8 | 38.46% |
| KR_Clown vs Heihachi | 6–7 | 46.15% |
| KR_Clown vs Jun | 7–5 | 58.33% |
| KR_Clown vs Victor | 6–6 | 50.00% |
| KR_Clown vs Xiaoyu | 3–8 | 27.27% |
| KR_Clown vs Leo | 4–7 | 36.36% |
| KR_Clown vs Jack-8 | 2–8 | 20.00% |
| KR_Clown vs Feng | 3–5 | 37.50% |
| KR_Clown vs Claudio | 2–5 | 28.57% |
| KR_Clown vs Kuma | 2–4 | 33.33% |
| KR_Clown vs Zafina | 2–4 | 33.33% |
| KR_Clown vs Leroy | 2–4 | 33.33% |
| KR_Clown vs Shaheen | 0–4 | 0.00% |
| KR_Clown vs Lee | 0–3 | 0.00% |
| KR_Clown vs Panda | 1–2 | 33.33% |
| KR_Clown vs Raven | 1–2 | 33.33% |
| KR_Clown vs Clive | 1–2 | 33.33% |
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.