| BAD LAW vs King | 71–73 | 49.31% |
| BAD LAW vs Kazuya | 50–73 | 40.65% |
| BAD LAW vs Jin | 49–71 | 40.83% |
| BAD LAW vs Hwoarang | 50–55 | 47.62% |
| BAD LAW vs Law | 44–54 | 44.90% |
| BAD LAW vs Reina | 47–50 | 48.45% |
| BAD LAW vs Steve | 40–55 | 42.11% |
| BAD LAW vs Bryan | 37–57 | 39.36% |
| BAD LAW vs Dragunov | 38–42 | 47.50% |
| BAD LAW vs Victor | 33–45 | 42.31% |
| BAD LAW vs Eddy | 41–37 | 52.56% |
| BAD LAW vs Paul | 31–32 | 49.21% |
| BAD LAW vs Lee | 27–36 | 42.86% |
| BAD LAW vs Azucena | 25–36 | 40.98% |
| BAD LAW vs Lili | 30–30 | 50.00% |
| BAD LAW vs Yoshimitsu | 29–28 | 50.88% |
| BAD LAW vs Lars | 20–33 | 37.74% |
| BAD LAW vs Devil Jin | 26–25 | 50.98% |
| BAD LAW vs Raven | 18–32 | 36.00% |
| BAD LAW vs Xiaoyu | 23–26 | 46.94% |
| BAD LAW vs Asuka | 17–32 | 34.69% |
| BAD LAW vs Jun | 18–26 | 40.91% |
| BAD LAW vs Alisa | 17–19–1 | 47.22% |
| BAD LAW vs Heihachi | 16–20 | 44.44% |
| BAD LAW vs Nina | 15–19 | 44.12% |
| BAD LAW vs Clive | 17–13 | 56.67% |
| BAD LAW vs Feng | 14–12 | 53.85% |
| BAD LAW vs Kuma | 15–11 | 57.69% |
| BAD LAW vs Zafina | 10–16 | 38.46% |
| BAD LAW vs Leo | 16–9 | 64.00% |
| BAD LAW vs Jack-8 | 4–20 | 16.67% |
| BAD LAW vs Claudio | 10–12 | 45.45% |
| BAD LAW vs Shaheen | 8–10 | 44.44% |
| BAD LAW vs Leroy | 7–11 | 38.89% |
| BAD LAW vs Lidia | 7–9 | 43.75% |
| BAD LAW vs Panda | 5–5 | 50.00% |
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.