| Perks vs King | 9–4 | 69.23% |
| Perks vs Jin | 6–6 | 50.00% |
| Perks vs Clive | 12–0 | 100.00% |
| Perks vs Eddy | 10–1 | 90.91% |
| Perks vs Hwoarang | 7–2 | 77.78% |
| Perks vs Lars | 7–1 | 87.50% |
| Perks vs Heihachi | 6–1 | 85.71% |
| Perks vs Dragunov | 5–1 | 83.33% |
| Perks vs Nina | 6–0 | 100.00% |
| Perks vs Steve | 3–2 | 60.00% |
| Perks vs Law | 1–2 | 33.33% |
| Perks vs Alisa | 1–2 | 33.33% |
| Perks vs Panda | 2–1 | 66.67% |
| Perks vs Reina | 3–0 | 100.00% |
| Perks vs Yoshimitsu | 2–0 | 100.00% |
| Perks vs Bryan | 2–0 | 100.00% |
| Perks vs Kazuya | 2–0 | 100.00% |
| Perks vs Jack-8 | 2–0 | 100.00% |
| Perks vs Devil Jin | 2–0 | 100.00% |
| Perks vs Leroy | 0–2 | 0.00% |
| Perks vs Raven | 2–0 | 100.00% |
| Perks vs Lidia | 0–2 | 0.00% |
| Perks vs Kuma | 0–1 | 0.00% |
| Perks vs Jun | 1–0 | 100.00% |
| Perks vs Victor | 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.