| moklong vs Dragunov | 28–20 | 58.33% |
| moklong vs King | 19–20 | 48.72% |
| moklong vs Kazuya | 20–19 | 51.28% |
| moklong vs Bryan | 25–13 | 65.79% |
| moklong vs Asuka | 16–17 | 48.48% |
| moklong vs Jin | 21–11 | 65.62% |
| moklong vs Reina | 18–12 | 60.00% |
| moklong vs Paul | 12–11 | 52.17% |
| moklong vs Hwoarang | 9–12 | 42.86% |
| moklong vs Victor | 9–12 | 42.86% |
| moklong vs Lee | 9–11 | 45.00% |
| moklong vs Jun | 11–8 | 57.89% |
| moklong vs Heihachi | 14–5 | 73.68% |
| moklong vs Fahkumram | 11–8 | 57.89% |
| moklong vs Yoshimitsu | 7–10 | 41.18% |
| moklong vs Steve | 11–6 | 64.71% |
| moklong vs Lars | 8–9 | 47.06% |
| moklong vs Clive | 9–6 | 60.00% |
| moklong vs Xiaoyu | 7–7 | 50.00% |
| moklong vs Law | 12–1 | 92.31% |
| moklong vs Feng | 8–5 | 61.54% |
| moklong vs Claudio | 5–8 | 38.46% |
| moklong vs Eddy | 3–10 | 23.08% |
| moklong vs Jack-8 | 4–8 | 33.33% |
| moklong vs Lili | 4–8 | 33.33% |
| moklong vs Leo | 4–8 | 33.33% |
| moklong vs Nina | 7–5 | 58.33% |
| moklong vs Anna | 7–3 | 70.00% |
| moklong vs Raven | 5–4 | 55.56% |
| moklong vs Lidia | 5–4 | 55.56% |
| moklong vs Leroy | 3–4 | 42.86% |
| moklong vs Azucena | 4–3 | 57.14% |
| moklong vs Alisa | 3–3 | 50.00% |
| moklong vs Panda | 2–3 | 40.00% |
| moklong vs Zafina | 0–5 | 0.00% |
| moklong vs Devil Jin | 2–2 | 50.00% |
| moklong vs Shaheen | 0–1 | 0.00% |
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.