| Slangin The Law vs Clive | 17–6 | 73.91% |
| Slangin The Law vs King | 14–6 | 70.00% |
| Slangin The Law vs Kazuya | 10–7 | 58.82% |
| Slangin The Law vs Bryan | 7–6 | 53.85% |
| Slangin The Law vs Asuka | 9–4 | 69.23% |
| Slangin The Law vs Lee | 8–4 | 66.67% |
| Slangin The Law vs Jin | 8–3 | 72.73% |
| Slangin The Law vs Feng | 6–4 | 60.00% |
| Slangin The Law vs Jun | 7–2 | 77.78% |
| Slangin The Law vs Law | 6–2 | 75.00% |
| Slangin The Law vs Steve | 5–3 | 62.50% |
| Slangin The Law vs Lars | 3–5 | 37.50% |
| Slangin The Law vs Devil Jin | 4–3 | 57.14% |
| Slangin The Law vs Lili | 6–1 | 85.71% |
| Slangin The Law vs Shaheen | 4–3 | 57.14% |
| Slangin The Law vs Nina | 6–1 | 85.71% |
| Slangin The Law vs Reina | 5–2 | 71.43% |
| Slangin The Law vs Azucena | 4–3 | 57.14% |
| Slangin The Law vs Yoshimitsu | 5–1 | 83.33% |
| Slangin The Law vs Leo | 4–2 | 66.67% |
| Slangin The Law vs Claudio | 2–4 | 33.33% |
| Slangin The Law vs Raven | 4–2 | 66.67% |
| Slangin The Law vs Eddy | 4–2 | 66.67% |
| Slangin The Law vs Jack-8 | 2–3 | 40.00% |
| Slangin The Law vs Heihachi | 4–1 | 80.00% |
| Slangin The Law vs Hwoarang | 4–0 | 100.00% |
| Slangin The Law vs Alisa | 2–2 | 50.00% |
| Slangin The Law vs Paul | 2–1 | 66.67% |
| Slangin The Law vs Leroy | 2–1 | 66.67% |
| Slangin The Law vs Victor | 1–2 | 33.33% |
| Slangin The Law vs Kuma | 0–2 | 0.00% |
| Slangin The Law vs Zafina | 2–0 | 100.00% |
| Slangin The Law vs Xiaoyu | 1–0 | 100.00% |
| Slangin The Law vs Dragunov | 0–1 | 0.00% |
| Slangin The Law vs Lidia | 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.