| Getting good vs Steve | 11–1 | 91.67% |
| Getting good vs Law | 6–4 | 60.00% |
| Getting good vs Jin | 3–4 | 42.86% |
| Getting good vs Paul | 2–4 | 33.33% |
| Getting good vs Kazuya | 2–2 | 50.00% |
| Getting good vs Nina | 2–2 | 50.00% |
| Getting good vs Lee | 0–4 | 0.00% |
| Getting good vs Victor | 0–4 | 0.00% |
| Getting good vs Dragunov | 3–0 | 100.00% |
| Getting good vs Leroy | 1–2 | 33.33% |
| Getting good vs Eddy | 2–1 | 66.67% |
| Getting good vs King | 0–2 | 0.00% |
| Getting good vs Hwoarang | 1–1 | 50.00% |
| Getting good vs Lili | 2–0 | 100.00% |
| Getting good vs Claudio | 2–0 | 100.00% |
| Getting good vs Azucena | 0–2 | 0.00% |
| Getting good vs Yoshimitsu | 1–0 | 100.00% |
| Getting good vs Shaheen | 0–1 | 0.00% |
| Getting good vs Zafina | 0–1 | 0.00% |
| Getting good vs Clive | 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.