| LurjiMerani vs King | 15–16 | 48.39% |
| LurjiMerani vs Bryan | 10–20 | 33.33% |
| LurjiMerani vs Jin | 10–16 | 38.46% |
| LurjiMerani vs Law | 11–11 | 50.00% |
| LurjiMerani vs Kazuya | 12–6 | 66.67% |
| LurjiMerani vs Reina | 15–3 | 83.33% |
| LurjiMerani vs Azucena | 10–6 | 62.50% |
| LurjiMerani vs Yoshimitsu | 10–5 | 66.67% |
| LurjiMerani vs Nina | 7–8 | 46.67% |
| LurjiMerani vs Dragunov | 5–9 | 35.71% |
| LurjiMerani vs Victor | 7–7 | 50.00% |
| LurjiMerani vs Hwoarang | 8–5 | 61.54% |
| LurjiMerani vs Steve | 5–8 | 38.46% |
| LurjiMerani vs Jun | 10–3 | 76.92% |
| LurjiMerani vs Leroy | 7–5 | 58.33% |
| LurjiMerani vs Eddy | 5–7 | 41.67% |
| LurjiMerani vs Paul | 4–5 | 44.44% |
| LurjiMerani vs Clive | 2–6 | 25.00% |
| LurjiMerani vs Jack-8 | 6–1 | 85.71% |
| LurjiMerani vs Feng | 2–5 | 28.57% |
| LurjiMerani vs Alisa | 4–3 | 57.14% |
| LurjiMerani vs Lili | 4–2 | 66.67% |
| LurjiMerani vs Lars | 0–6 | 0.00% |
| LurjiMerani vs Heihachi | 5–1 | 83.33% |
| LurjiMerani vs Kuma | 1–4 | 20.00% |
| LurjiMerani vs Xiaoyu | 3–1 | 75.00% |
| LurjiMerani vs Asuka | 2–2 | 50.00% |
| LurjiMerani vs Leo | 2–1 | 66.67% |
| LurjiMerani vs Lee | 2–1 | 66.67% |
| LurjiMerani vs Panda | 1–2 | 33.33% |
| LurjiMerani vs Devil Jin | 0–2 | 0.00% |
| LurjiMerani vs Lidia | 0–2 | 0.00% |
| LurjiMerani vs Claudio | 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.