| Gam1ng Theft vs Law | 6–4 | 60.00% |
| Gam1ng Theft vs Yoshimitsu | 4–1 | 80.00% |
| Gam1ng Theft vs Xiaoyu | 3–2 | 60.00% |
| Gam1ng Theft vs Jun | 3–2 | 60.00% |
| Gam1ng Theft vs Nina | 2–2 | 50.00% |
| Gam1ng Theft vs King | 2–1 | 66.67% |
| Gam1ng Theft vs Hwoarang | 3–0 | 100.00% |
| Gam1ng Theft vs Jin | 1–2 | 33.33% |
| Gam1ng Theft vs Reina | 2–1 | 66.67% |
| Gam1ng Theft vs Paul | 2–0 | 100.00% |
| Gam1ng Theft vs Bryan | 1–1 | 50.00% |
| Gam1ng Theft vs Steve | 2–0 | 100.00% |
| Gam1ng Theft vs Panda | 2–0 | 100.00% |
| Gam1ng Theft vs Victor | 0–2 | 0.00% |
| Gam1ng Theft vs Raven | 2–0 | 100.00% |
| Gam1ng Theft vs Lidia | 0–2 | 0.00% |
| Gam1ng Theft vs Heihachi | 0–2 | 0.00% |
| Gam1ng Theft vs Asuka | 1–0 | 100.00% |
| Gam1ng Theft vs Feng | 0–1 | 0.00% |
| Gam1ng Theft vs Lars | 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.