| Face2Cuir vs Steve | 6–0 | 100.00% |
| Face2Cuir vs Miary Zo | 5–1 | 83.33% |
| Face2Cuir vs Paul | 3–2 | 60.00% |
| Face2Cuir vs Law | 2–2 | 50.00% |
| Face2Cuir vs King | 3–1 | 75.00% |
| Face2Cuir vs Jin | 3–1 | 75.00% |
| Face2Cuir vs Bryan | 1–3 | 25.00% |
| Face2Cuir vs Nina | 2–2 | 50.00% |
| Face2Cuir vs Kuma | 3–1 | 75.00% |
| Face2Cuir vs Jun | 4–0 | 100.00% |
| Face2Cuir vs Kazuya | 2–1 | 66.67% |
| Face2Cuir vs Lee | 1–2 | 33.33% |
| Face2Cuir vs Azucena | 3–0 | 100.00% |
| Face2Cuir vs Eddy | 1–2 | 33.33% |
| Face2Cuir vs Lidia | 2–1 | 66.67% |
| Face2Cuir vs Hwoarang | 1–1 | 50.00% |
| Face2Cuir vs Feng | 2–0 | 100.00% |
| Face2Cuir vs Dragunov | 2–0 | 100.00% |
| Face2Cuir vs Claudio | 2–0 | 100.00% |
| Face2Cuir vs Reina | 1–1 | 50.00% |
| Face2Cuir vs Xiaoyu | 1–0 | 100.00% |
| Face2Cuir vs Asuka | 1–0 | 100.00% |
| Face2Cuir vs Heihachi | 0–1 | 0.00% |
| Face2Cuir vs Armor King | 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.