| EmeraldSkye vs Reina | 27–4 | 87.10% |
| EmeraldSkye vs King | 23–5 | 82.14% |
| EmeraldSkye vs Law | 19–1 | 95.00% |
| EmeraldSkye vs Asuka | 14–4 | 77.78% |
| EmeraldSkye vs Hwoarang | 16–0 | 100.00% |
| EmeraldSkye vs Kazuya | 11–1 | 91.67% |
| EmeraldSkye vs Steve | 10–2 | 83.33% |
| EmeraldSkye vs Leo | 10–2 | 83.33% |
| EmeraldSkye vs Alisa | 10–2 | 83.33% |
| EmeraldSkye vs Eddy | 12–0 | 100.00% |
| EmeraldSkye vs Dragunov | 5–6 | 45.45% |
| EmeraldSkye vs Victor | 10–0 | 100.00% |
| EmeraldSkye vs Lili | 8–1 | 88.89% |
| EmeraldSkye vs Zafina | 8–1 | 88.89% |
| EmeraldSkye vs Jun | 8–1 | 88.89% |
| EmeraldSkye vs Jin | 4–4 | 50.00% |
| EmeraldSkye vs Lee | 8–0 | 100.00% |
| EmeraldSkye vs Xiaoyu | 7–0 | 100.00% |
| EmeraldSkye vs Feng | 7–0 | 100.00% |
| EmeraldSkye vs Lars | 4–3 | 57.14% |
| EmeraldSkye vs Nina | 7–0 | 100.00% |
| EmeraldSkye vs Paul | 4–2 | 66.67% |
| EmeraldSkye vs Yoshimitsu | 4–1 | 80.00% |
| EmeraldSkye vs Jack-8 | 5–0 | 100.00% |
| EmeraldSkye vs Devil Jin | 5–0 | 100.00% |
| EmeraldSkye vs Kuma | 3–1 | 75.00% |
| EmeraldSkye vs Leroy | 4–0 | 100.00% |
| EmeraldSkye vs Azucena | 4–0 | 100.00% |
| EmeraldSkye vs Raven | 4–0 | 100.00% |
| EmeraldSkye vs Bryan | 1–2 | 33.33% |
| EmeraldSkye vs Claudio | 3–0 | 100.00% |
| EmeraldSkye vs Shaheen | 3–0 | 100.00% |
| EmeraldSkye vs Panda | 3–0 | 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.