| EMEMAN@youtube vs Dragunov | 96–99 | 49.23% |
| EMEMAN@youtube vs King | 83–82 | 50.30% |
| EMEMAN@youtube vs Hwoarang | 79–79 | 50.00% |
| EMEMAN@youtube vs Lili | 74–84 | 46.84% |
| EMEMAN@youtube vs Jin | 74–79 | 48.37% |
| EMEMAN@youtube vs Paul | 72–76 | 48.65% |
| EMEMAN@youtube vs Kazuya | 72–74 | 49.32% |
| EMEMAN@youtube vs Reina | 72–66 | 52.17% |
| EMEMAN@youtube vs Yoshimitsu | 70–67 | 51.09% |
| EMEMAN@youtube vs Bryan | 69–59 | 53.91% |
| EMEMAN@youtube vs Steve | 57–70 | 44.88% |
| EMEMAN@youtube vs Victor | 58–68 | 46.03% |
| EMEMAN@youtube vs Asuka | 63–57 | 52.50% |
| EMEMAN@youtube vs Law | 47–67 | 41.23% |
| EMEMAN@youtube vs Leo | 50–61 | 45.05% |
| EMEMAN@youtube vs Lars | 48–57 | 45.71% |
| EMEMAN@youtube vs Jun | 49–55 | 47.12% |
| EMEMAN@youtube vs Jack-8 | 55–46 | 54.46% |
| EMEMAN@youtube vs Feng | 47–53 | 47.00% |
| EMEMAN@youtube vs Eddy | 49–51 | 49.00% |
| EMEMAN@youtube vs Azucena | 45–50 | 47.37% |
| EMEMAN@youtube vs Lee | 38–52 | 42.22% |
| EMEMAN@youtube vs Leroy | 40–49 | 44.94% |
| EMEMAN@youtube vs Devil Jin | 49–32 | 60.49% |
| EMEMAN@youtube vs Nina | 40–38 | 51.28% |
| EMEMAN@youtube vs Xiaoyu | 40–36 | 52.63% |
| EMEMAN@youtube vs Lidia | 17–52 | 24.64% |
| EMEMAN@youtube vs Zafina | 38–30 | 55.88% |
| EMEMAN@youtube vs Raven | 26–42 | 38.24% |
| EMEMAN@youtube vs Alisa | 28–34 | 45.16% |
| EMEMAN@youtube vs Claudio | 36–21 | 63.16% |
| EMEMAN@youtube vs Kuma | 25–27 | 48.08% |
| EMEMAN@youtube vs Shaheen | 29–19 | 60.42% |
| EMEMAN@youtube vs Panda | 12–16 | 42.86% |
| EMEMAN@youtube vs Heihachi | 1–2 | 33.33% |
| EMEMAN@youtube vs Fahkumram | 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.