| SubCure15K vs Xiaoyu | 2–3 | 40.00% |
| SubCure15K vs Jin | 3–2 | 60.00% |
| SubCure15K vs Kazuya | 3–2 | 60.00% |
| SubCure15K vs King | 2–2 | 50.00% |
| SubCure15K vs Lili | 0–4 | 0.00% |
| SubCure15K vs Lars | 3–1 | 75.00% |
| SubCure15K vs Law | 1–2 | 33.33% |
| SubCure15K vs Hwoarang | 2–1 | 66.67% |
| SubCure15K vs Devil Jin | 1–2 | 33.33% |
| SubCure15K vs Yoshimitsu | 2–0 | 100.00% |
| SubCure15K vs Feng | 1–1 | 50.00% |
| SubCure15K vs Leo | 0–2 | 0.00% |
| SubCure15K vs Lee | 2–0 | 100.00% |
| SubCure15K vs Reina | 2–0 | 100.00% |
| SubCure15K vs Azucena | 1–1 | 50.00% |
| SubCure15K vs Jack-8 | 0–1 | 0.00% |
| SubCure15K vs Dragunov | 0–1 | 0.00% |
| SubCure15K vs Alisa | 0–1 | 0.00% |
| SubCure15K vs Claudio | 1–0 | 100.00% |
| SubCure15K vs Nina | 0–1 | 0.00% |
| SubCure15K vs Jun | 0–1 | 0.00% |
| SubCure15K vs Raven | 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.