| Emmolation vs Kazuya | 55–57 | 49.11% |
| Emmolation vs Jin | 49–57 | 46.23% |
| Emmolation vs King | 32–46 | 41.03% |
| Emmolation vs Hwoarang | 33–38 | 46.48% |
| Emmolation vs Reina | 32–37 | 46.38% |
| Emmolation vs Lili | 38–29 | 56.72% |
| Emmolation vs Bryan | 34–31 | 52.31% |
| Emmolation vs Steve | 34–31 | 52.31% |
| Emmolation vs Armor King | 26–34 | 43.33% |
| Emmolation vs Paul | 25–30 | 45.45% |
| Emmolation vs Law | 19–29 | 39.58% |
| Emmolation vs Jun | 16–27–1 | 37.21% |
| Emmolation vs Azucena | 19–16 | 54.29% |
| Emmolation vs Feng | 13–16 | 44.83% |
| Emmolation vs Dragunov | 12–17 | 41.38% |
| Emmolation vs Fahkumram | 17–12 | 58.62% |
| Emmolation vs Alisa | 14–13 | 51.85% |
| Emmolation vs Lee | 13–13 | 50.00% |
| Emmolation vs Yoshimitsu | 10–15 | 40.00% |
| Emmolation vs Devil Jin | 12–12 | 50.00% |
| Emmolation vs Lars | 14–10 | 58.33% |
| Emmolation vs Lidia | 6–18 | 25.00% |
| Emmolation vs Heihachi | 10–14 | 41.67% |
| Emmolation vs Asuka | 9–14 | 39.13% |
| Emmolation vs Eddy | 14–9 | 60.87% |
| Emmolation vs Nina | 11–7 | 61.11% |
| Emmolation vs Leroy | 9–8 | 52.94% |
| Emmolation vs Kuma | 9–7 | 56.25% |
| Emmolation vs Jack-8 | 4–9 | 30.77% |
| Emmolation vs Xiaoyu | 4–8 | 33.33% |
| Emmolation vs Claudio | 3–8 | 27.27% |
| Emmolation vs Leo | 4–6 | 40.00% |
| Emmolation vs Raven | 4–5 | 44.44% |
| Emmolation vs Clive | 5–4 | 55.56% |
| Emmolation vs Zafina | 4–4 | 50.00% |
| Emmolation vs Victor | 5–3 | 62.50% |
| Emmolation vs Shaheen | 3–3 | 50.00% |
| Emmolation vs Panda | 3–3 | 50.00% |
| Emmolation vs Anna | 3–3 | 50.00% |
| Emmolation vs Miary Zo | 2–3 | 40.00% |
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.