| LawlaNagr vs Jin | 27–9 | 75.00% |
| LawlaNagr vs King | 16–7 | 69.57% |
| LawlaNagr vs Kazuya | 15–7 | 68.18% |
| LawlaNagr vs Steve | 12–10 | 54.55% |
| LawlaNagr vs Law | 17–3 | 85.00% |
| LawlaNagr vs Hwoarang | 16–3 | 84.21% |
| LawlaNagr vs Devil Jin | 8–9 | 47.06% |
| LawlaNagr vs Bryan | 12–4 | 75.00% |
| LawlaNagr vs Asuka | 9–5 | 64.29% |
| LawlaNagr vs Dragunov | 13–1 | 92.86% |
| LawlaNagr vs Leroy | 9–5 | 64.29% |
| LawlaNagr vs Reina | 9–1 | 90.00% |
| LawlaNagr vs Azucena | 3–7 | 30.00% |
| LawlaNagr vs Heihachi | 8–2 | 80.00% |
| LawlaNagr vs Anna | 7–3 | 70.00% |
| LawlaNagr vs Paul | 7–2 | 77.78% |
| LawlaNagr vs Lars | 6–3 | 66.67% |
| LawlaNagr vs Zafina | 6–3 | 66.67% |
| LawlaNagr vs Clive | 5–4 | 55.56% |
| LawlaNagr vs Yoshimitsu | 5–2 | 71.43% |
| LawlaNagr vs Lili | 3–4 | 42.86% |
| LawlaNagr vs Lidia | 5–2 | 71.43% |
| LawlaNagr vs Armor King | 5–2 | 71.43% |
| LawlaNagr vs Xiaoyu | 6–0 | 100.00% |
| LawlaNagr vs Kuma | 4–2 | 66.67% |
| LawlaNagr vs Eddy | 3–3 | 50.00% |
| LawlaNagr vs Jack-8 | 5–0 | 100.00% |
| LawlaNagr vs Leo | 4–1 | 80.00% |
| LawlaNagr vs Nina | 1–4 | 20.00% |
| LawlaNagr vs Jun | 5–0 | 100.00% |
| LawlaNagr vs Alisa | 4–0 | 100.00% |
| LawlaNagr vs Lee | 4–0 | 100.00% |
| LawlaNagr vs Raven | 4–0 | 100.00% |
| LawlaNagr vs Shaheen | 2–1 | 66.67% |
| LawlaNagr vs Panda | 1–2 | 33.33% |
| LawlaNagr vs Fahkumram | 0–3 | 0.00% |
| LawlaNagr vs Feng | 2–0 | 100.00% |
| LawlaNagr vs Claudio | 2–0 | 100.00% |
| LawlaNagr vs Miary Zo | 0–2 | 0.00% |
| LawlaNagr vs Victor | 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.