| melC vs Law | 8–4 | 66.67% |
| melC vs Hwoarang | 6–0 | 100.00% |
| melC vs Azucena | 6–0 | 100.00% |
| melC vs Devil Jin | 2–3 | 40.00% |
| melC vs Lee | 4–1 | 80.00% |
| melC vs King | 1–3 | 25.00% |
| melC vs Bryan | 4–0 | 100.00% |
| melC vs Yoshimitsu | 2–1 | 66.67% |
| melC vs Steve | 2–1 | 66.67% |
| melC vs Victor | 2–1 | 66.67% |
| melC vs Eddy | 1–2 | 33.33% |
| melC vs Lidia | 3–0 | 100.00% |
| melC vs Xiaoyu | 2–0 | 100.00% |
| melC vs Leo | 0–2 | 0.00% |
| melC vs Lars | 0–2 | 0.00% |
| melC vs Zafina | 2–0 | 100.00% |
| melC vs Jun | 0–2 | 0.00% |
| melC vs Reina | 2–0 | 100.00% |
| melC vs Nina | 2–0 | 100.00% |
| melC vs Lili | 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.