| UnKn0wn64 vs Jin | 3–4 | 42.86% |
| UnKn0wn64 vs Reina | 2–4 | 33.33% |
| UnKn0wn64 vs Steve | 2–3 | 40.00% |
| UnKn0wn64 vs Lars | 2–3 | 40.00% |
| UnKn0wn64 vs Azucena | 1–4 | 20.00% |
| UnKn0wn64 vs Paul | 0–4 | 0.00% |
| UnKn0wn64 vs Asuka | 2–2 | 50.00% |
| UnKn0wn64 vs Claudio | 2–2 | 50.00% |
| UnKn0wn64 vs Panda | 0–4 | 0.00% |
| UnKn0wn64 vs Victor | 2–2 | 50.00% |
| UnKn0wn64 vs Eddy | 2–2 | 50.00% |
| UnKn0wn64 vs King | 1–2 | 33.33% |
| UnKn0wn64 vs Xiaoyu | 2–1 | 66.67% |
| UnKn0wn64 vs Alisa | 1–2 | 33.33% |
| UnKn0wn64 vs Zafina | 2–1 | 66.67% |
| UnKn0wn64 vs Law | 0–2 | 0.00% |
| UnKn0wn64 vs Kazuya | 0–2 | 0.00% |
| UnKn0wn64 vs Dragunov | 2–0 | 100.00% |
| UnKn0wn64 vs Lee | 0–2 | 0.00% |
| UnKn0wn64 vs Jun | 2–0 | 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.