| LawByLaw vs King | 44–80 | 35.48% |
| LawByLaw vs Jin | 50–41 | 54.95% |
| LawByLaw vs Armor King | 35–46 | 43.21% |
| LawByLaw vs Kazuya | 34–39 | 46.58% |
| LawByLaw vs Heihachi | 27–43 | 38.57% |
| LawByLaw vs Law | 32–34 | 48.48% |
| LawByLaw vs Bryan | 31–31 | 50.00% |
| LawByLaw vs Steve | 27–28 | 49.09% |
| LawByLaw vs Lili | 25–27 | 48.08% |
| LawByLaw vs Reina | 20–23 | 46.51% |
| LawByLaw vs Asuka | 17–20 | 45.95% |
| LawByLaw vs Eddy | 21–15 | 58.33% |
| LawByLaw vs Dragunov | 12–22 | 35.29% |
| LawByLaw vs Devil Jin | 20–11 | 64.52% |
| LawByLaw vs Paul | 12–18 | 40.00% |
| LawByLaw vs Lars | 13–16 | 44.83% |
| LawByLaw vs Xiaoyu | 13–15 | 46.43% |
| LawByLaw vs Hwoarang | 11–16 | 40.74% |
| LawByLaw vs Victor | 12–14 | 46.15% |
| LawByLaw vs Zafina | 10–15 | 40.00% |
| LawByLaw vs Miary Zo | 14–11 | 56.00% |
| LawByLaw vs Jun | 9–14 | 39.13% |
| LawByLaw vs Nina | 8–14 | 36.36% |
| LawByLaw vs Leo | 10–11 | 47.62% |
| LawByLaw vs Azucena | 12–7 | 63.16% |
| LawByLaw vs Lidia | 10–8 | 55.56% |
| LawByLaw vs Yoshimitsu | 10–7 | 58.82% |
| LawByLaw vs Lee | 8–8 | 50.00% |
| LawByLaw vs Clive | 10–6 | 62.50% |
| LawByLaw vs Fahkumram | 5–11 | 31.25% |
| LawByLaw vs Alisa | 10–5 | 66.67% |
| LawByLaw vs Feng | 5–7 | 41.67% |
| LawByLaw vs Claudio | 6–6 | 50.00% |
| LawByLaw vs Anna | 9–3 | 75.00% |
| LawByLaw vs Leroy | 3–8 | 27.27% |
| LawByLaw vs Raven | 6–3 | 66.67% |
| LawByLaw vs Jack-8 | 3–5 | 37.50% |
| LawByLaw vs Shaheen | 5–3 | 62.50% |
| LawByLaw vs Panda | 2–4 | 33.33% |
| LawByLaw vs Kuma | 3–1 | 75.00% |
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.