| ljlj vs Fahkumram | 43–23 | 65.15% |
| ljlj vs Kazuya | 25–24 | 51.02% |
| ljlj vs Lili | 18–24 | 42.86% |
| ljlj vs Dragunov | 24–16 | 60.00% |
| ljlj vs Steve | 18–20 | 47.37% |
| ljlj vs Reina | 15–18 | 45.45% |
| ljlj vs King | 18–10 | 64.29% |
| ljlj vs Law | 12–15 | 44.44% |
| ljlj vs Hwoarang | 14–13 | 51.85% |
| ljlj vs Bryan | 16–10 | 61.54% |
| ljlj vs Jun | 16–10 | 61.54% |
| ljlj vs Jin | 9–16 | 36.00% |
| ljlj vs Feng | 12–9 | 57.14% |
| ljlj vs Paul | 11–9 | 55.00% |
| ljlj vs Asuka | 13–7 | 65.00% |
| ljlj vs Heihachi | 8–12 | 40.00% |
| ljlj vs Leo | 10–8 | 55.56% |
| ljlj vs Victor | 11–7 | 61.11% |
| ljlj vs Azucena | 7–10 | 41.18% |
| ljlj vs Xiaoyu | 9–7 | 56.25% |
| ljlj vs Lars | 7–9 | 43.75% |
| ljlj vs Kuma | 10–5 | 66.67% |
| ljlj vs Yoshimitsu | 4–10 | 28.57% |
| ljlj vs Claudio | 6–7 | 46.15% |
| ljlj vs Lidia | 6–7 | 46.15% |
| ljlj vs Devil Jin | 7–5 | 58.33% |
| ljlj vs Nina | 5–6 | 45.45% |
| ljlj vs Armor King | 6–5 | 54.55% |
| ljlj vs Leroy | 3–6 | 33.33% |
| ljlj vs Clive | 6–3 | 66.67% |
| ljlj vs Anna | 3–6 | 33.33% |
| ljlj vs Eddy | 4–4 | 50.00% |
| ljlj vs Alisa | 5–2 | 71.43% |
| ljlj vs Lee | 3–3 | 50.00% |
| ljlj vs Panda | 1–4 | 20.00% |
| ljlj vs Shaheen | 3–1 | 75.00% |
| ljlj vs Raven | 4–0 | 100.00% |
| ljlj vs Jack-8 | 1–1 | 50.00% |
| ljlj vs Zafina | 2–0 | 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.