| E_NAMA vs King | 6–3 | 66.67% |
| E_NAMA vs Bryan | 4–2 | 66.67% |
| E_NAMA vs Feng | 3–2 | 60.00% |
| E_NAMA vs Lili | 3–1 | 75.00% |
| E_NAMA vs Jin | 2–1 | 66.67% |
| E_NAMA vs Steve | 1–2 | 33.33% |
| E_NAMA vs Devil Jin | 2–1 | 66.67% |
| E_NAMA vs Leo | 2–1 | 66.67% |
| E_NAMA vs Leroy | 3–0 | 100.00% |
| E_NAMA vs Jun | 3–0 | 100.00% |
| E_NAMA vs Reina | 2–1 | 66.67% |
| E_NAMA vs Paul | 0–2 | 0.00% |
| E_NAMA vs Hwoarang | 2–0 | 100.00% |
| E_NAMA vs Kazuya | 2–0 | 100.00% |
| E_NAMA vs Asuka | 0–2 | 0.00% |
| E_NAMA vs Dragunov | 0–2 | 0.00% |
| E_NAMA vs Alisa | 2–0 | 100.00% |
| E_NAMA vs Claudio | 2–0 | 100.00% |
| E_NAMA vs Nina | 1–1 | 50.00% |
| E_NAMA vs Panda | 0–2 | 0.00% |
| E_NAMA vs Xiaoyu | 0–1 | 0.00% |
| E_NAMA vs Shaheen | 0–1 | 0.00% |
| E_NAMA vs Kuma | 0–1 | 0.00% |
| E_NAMA vs Zafina | 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.