| perk vs Hwoarang | 7–3 | 70.00% |
| perk vs Xiaoyu | 4–2 | 66.67% |
| perk vs Lili | 5–1 | 83.33% |
| perk vs Lee | 5–0 | 100.00% |
| perk vs Eddy | 3–2 | 60.00% |
| perk vs Bryan | 4–0 | 100.00% |
| perk vs Dragunov | 3–1 | 75.00% |
| perk vs Claudio | 0–4 | 0.00% |
| perk vs Law | 3–0 | 100.00% |
| perk vs Steve | 2–1 | 66.67% |
| perk vs Yoshimitsu | 2–0 | 100.00% |
| perk vs Jin | 2–0 | 100.00% |
| perk vs Kazuya | 2–0 | 100.00% |
| perk vs Feng | 0–2 | 0.00% |
| perk vs Shaheen | 2–0 | 100.00% |
| perk vs Nina | 1–1 | 50.00% |
| perk vs Jun | 1–1 | 50.00% |
| perk vs Raven | 0–2 | 0.00% |
| perk vs King | 1–0 | 100.00% |
| perk vs Jack-8 | 1–0 | 100.00% |
| perk vs Kuma | 1–0 | 100.00% |
| perk vs Panda | 1–0 | 100.00% |
| perk vs Reina | 1–0 | 100.00% |
| perk vs Victor | 1–0 | 100.00% |
| perk vs Heihachi | 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.