| LawG vs Jin | 28–32 | 46.67% |
| LawG vs Steve | 28–14 | 66.67% |
| LawG vs King | 19–19 | 50.00% |
| LawG vs Law | 20–17 | 54.05% |
| LawG vs Hwoarang | 15–21 | 41.67% |
| LawG vs Kazuya | 7–26 | 21.21% |
| LawG vs Victor | 17–16 | 51.52% |
| LawG vs Bryan | 19–12 | 61.29% |
| LawG vs Reina | 19–10 | 65.52% |
| LawG vs Lili | 15–10 | 60.00% |
| LawG vs Lidia | 16–8 | 66.67% |
| LawG vs Dragunov | 8–13 | 38.10% |
| LawG vs Eddy | 5–14 | 26.32% |
| LawG vs Heihachi | 8–10 | 44.44% |
| LawG vs Alisa | 8–9 | 47.06% |
| LawG vs Jun | 8–8 | 50.00% |
| LawG vs Yoshimitsu | 7–8 | 46.67% |
| LawG vs Nina | 3–10 | 23.08% |
| LawG vs Paul | 7–5 | 58.33% |
| LawG vs Azucena | 5–7 | 41.67% |
| LawG vs Jack-8 | 8–3 | 72.73% |
| LawG vs Xiaoyu | 5–5 | 50.00% |
| LawG vs Asuka | 6–4 | 60.00% |
| LawG vs Devil Jin | 8–2 | 80.00% |
| LawG vs Leroy | 6–4 | 60.00% |
| LawG vs Lee | 6–2 | 75.00% |
| LawG vs Lars | 3–4 | 42.86% |
| LawG vs Clive | 2–4 | 33.33% |
| LawG vs Leo | 1–4 | 20.00% |
| LawG vs Raven | 2–3 | 40.00% |
| LawG vs Miary Zo | 2–3 | 40.00% |
| LawG vs Kuma | 0–4 | 0.00% |
| LawG vs Feng | 1–2 | 33.33% |
| LawG vs Claudio | 1–2 | 33.33% |
| LawG vs Shaheen | 1–2 | 33.33% |
| LawG vs Armor King | 1–2 | 33.33% |
| LawG vs Fahkumram | 0–2 | 0.00% |
| LawG vs Panda | 0–1 | 0.00% |
| LawG vs Zafina | 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.