| Ecly_Alpha vs Jin | 16–29 | 35.56% |
| Ecly_Alpha vs Reina | 12–24 | 33.33% |
| Ecly_Alpha vs King | 14–21 | 40.00% |
| Ecly_Alpha vs Steve | 10–15 | 40.00% |
| Ecly_Alpha vs Dragunov | 10–15 | 40.00% |
| Ecly_Alpha vs Eddy | 9–14 | 39.13% |
| Ecly_Alpha vs Hwoarang | 9–13 | 40.91% |
| Ecly_Alpha vs Kazuya | 8–12 | 40.00% |
| Ecly_Alpha vs Nina | 8–10 | 44.44% |
| Ecly_Alpha vs Law | 5–12 | 29.41% |
| Ecly_Alpha vs Lars | 12–5 | 70.59% |
| Ecly_Alpha vs Bryan | 4–12 | 25.00% |
| Ecly_Alpha vs Lili | 10–6 | 62.50% |
| Ecly_Alpha vs Azucena | 5–9 | 35.71% |
| Ecly_Alpha vs Paul | 3–10 | 23.08% |
| Ecly_Alpha vs Yoshimitsu | 10–3 | 76.92% |
| Ecly_Alpha vs Xiaoyu | 5–8 | 38.46% |
| Ecly_Alpha vs Lee | 3–10 | 23.08% |
| Ecly_Alpha vs Clive | 5–8 | 38.46% |
| Ecly_Alpha vs Fahkumram | 5–8 | 38.46% |
| Ecly_Alpha vs Asuka | 4–7 | 36.36% |
| Ecly_Alpha vs Feng | 6–5 | 54.55% |
| Ecly_Alpha vs Panda | 8–3 | 72.73% |
| Ecly_Alpha vs Lidia | 0–11 | 0.00% |
| Ecly_Alpha vs Anna | 5–6 | 45.45% |
| Ecly_Alpha vs Devil Jin | 3–7 | 30.00% |
| Ecly_Alpha vs Victor | 2–8 | 20.00% |
| Ecly_Alpha vs Zafina | 3–6 | 33.33% |
| Ecly_Alpha vs Heihachi | 3–6 | 33.33% |
| Ecly_Alpha vs Leo | 5–2 | 71.43% |
| Ecly_Alpha vs Kuma | 1–6 | 14.29% |
| Ecly_Alpha vs Alisa | 0–5 | 0.00% |
| Ecly_Alpha vs Jack-8 | 3–1 | 75.00% |
| Ecly_Alpha vs Jun | 0–4 | 0.00% |
| Ecly_Alpha vs Miary Zo | 1–3 | 25.00% |
| Ecly_Alpha vs Raven | 2–1 | 66.67% |
| Ecly_Alpha vs Claudio | 0–2 | 0.00% |
| Ecly_Alpha vs Leroy | 0–2 | 0.00% |
| Ecly_Alpha vs Shaheen | 0–1 | 0.00% |
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.