| faker vs King | 4–7 | 36.36% |
| faker vs Dragunov | 9–1 | 90.00% |
| faker vs Reina | 7–3 | 70.00% |
| faker vs Azucena | 5–4 | 55.56% |
| faker vs Jun | 4–4 | 50.00% |
| faker vs Paul | 7–0 | 100.00% |
| faker vs Steve | 4–3 | 57.14% |
| faker vs Victor | 3–4 | 42.86% |
| faker vs Lili | 4–2 | 66.67% |
| faker vs Law | 1–4 | 20.00% |
| faker vs Bryan | 3–2 | 60.00% |
| faker vs Feng | 5–0 | 100.00% |
| faker vs Xiaoyu | 2–2 | 50.00% |
| faker vs Lars | 3–0 | 100.00% |
| faker vs Nina | 2–1 | 66.67% |
| faker vs Lee | 1–2 | 33.33% |
| faker vs Yoshimitsu | 1–1 | 50.00% |
| faker vs Jin | 1–1 | 50.00% |
| faker vs Kazuya | 2–0 | 100.00% |
| faker vs Jack-8 | 2–0 | 100.00% |
| faker vs Asuka | 2–0 | 100.00% |
| faker vs Devil Jin | 2–0 | 100.00% |
| faker vs Claudio | 2–0 | 100.00% |
| faker vs Panda | 0–2 | 0.00% |
| faker vs Alisa | 1–0 | 100.00% |
| faker vs Eddy | 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.