| EternalEcstasy vs Kazuya | 113–80 | 58.55% |
| EternalEcstasy vs Reina | 64–107 | 37.43% |
| EternalEcstasy vs Clive | 76–91 | 45.51% |
| EternalEcstasy vs King | 82–82 | 50.00% |
| EternalEcstasy vs Jin | 53–94 | 36.05% |
| EternalEcstasy vs Steve | 74–65 | 53.24% |
| EternalEcstasy vs Bryan | 55–75 | 42.31% |
| EternalEcstasy vs Heihachi | 60–66 | 47.62% |
| EternalEcstasy vs Lili | 43–56–1 | 43.43% |
| EternalEcstasy vs Azucena | 42–39 | 51.85% |
| EternalEcstasy vs Paul | 32–48 | 40.00% |
| EternalEcstasy vs Yoshimitsu | 44–33 | 57.14% |
| EternalEcstasy vs Lee | 42–34 | 55.26% |
| EternalEcstasy vs Dragunov | 38–35 | 52.05% |
| EternalEcstasy vs Devil Jin | 26–43 | 37.68% |
| EternalEcstasy vs Hwoarang | 34–34 | 50.00% |
| EternalEcstasy vs Feng | 30–29 | 50.85% |
| EternalEcstasy vs Alisa | 17–33 | 34.00% |
| EternalEcstasy vs Eddy | 15–34 | 30.61% |
| EternalEcstasy vs Asuka | 25–23 | 52.08% |
| EternalEcstasy vs Lidia | 26–22 | 54.17% |
| EternalEcstasy vs Xiaoyu | 22–24 | 47.83% |
| EternalEcstasy vs Victor | 17–29 | 36.96% |
| EternalEcstasy vs Jun | 18–27 | 40.00% |
| EternalEcstasy vs Law | 16–22 | 42.11% |
| EternalEcstasy vs Leo | 21–16 | 56.76% |
| EternalEcstasy vs Claudio | 16–19–1 | 45.71% |
| EternalEcstasy vs Zafina | 11–23 | 32.35% |
| EternalEcstasy vs Lars | 15–18 | 45.45% |
| EternalEcstasy vs Kuma | 12–20 | 37.50% |
| EternalEcstasy vs Leroy | 12–20 | 37.50% |
| EternalEcstasy vs Jack-8 | 9–17 | 34.62% |
| EternalEcstasy vs Nina | 12–12 | 50.00% |
| EternalEcstasy vs Raven | 10–12 | 45.45% |
| EternalEcstasy vs Shaheen | 8–7 | 53.33% |
| EternalEcstasy vs Panda | 3–2 | 60.00% |
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.