| Emologia vs Kazuya | 10–5 | 66.67% |
| Emologia vs Reina | 6–3 | 66.67% |
| Emologia vs Victor | 6–1 | 85.71% |
| Emologia vs Law | 2–2 | 50.00% |
| Emologia vs Jun | 2–2 | 50.00% |
| Emologia vs Azucena | 4–0 | 100.00% |
| Emologia vs King | 3–0 | 100.00% |
| Emologia vs Hwoarang | 1–2 | 33.33% |
| Emologia vs Bryan | 2–1 | 66.67% |
| Emologia vs Lili | 2–1 | 66.67% |
| Emologia vs Lars | 2–1 | 66.67% |
| Emologia vs Claudio | 3–0 | 100.00% |
| Emologia vs Zafina | 2–1 | 66.67% |
| Emologia vs Paul | 2–0 | 100.00% |
| Emologia vs Yoshimitsu | 0–2 | 0.00% |
| Emologia vs Xiaoyu | 2–0 | 100.00% |
| Emologia vs Jin | 0–2 | 0.00% |
| Emologia vs Asuka | 2–0 | 100.00% |
| Emologia vs Nina | 2–0 | 100.00% |
| Emologia vs Lee | 2–0 | 100.00% |
| Emologia vs Kuma | 2–0 | 100.00% |
| Emologia vs Leroy | 2–0 | 100.00% |
| Emologia vs Eddy | 1–1 | 50.00% |
| Emologia vs Steve | 1–0 | 100.00% |
| Emologia vs Dragunov | 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.