| NOT Akuma vs Feng | 2–8 | 20.00% |
| NOT Akuma vs Steve | 1–5 | 16.67% |
| NOT Akuma vs Lili | 4–2 | 66.67% |
| NOT Akuma vs Asuka | 1–3 | 25.00% |
| NOT Akuma vs Shaheen | 2–2 | 50.00% |
| NOT Akuma vs Hwoarang | 2–1 | 66.67% |
| NOT Akuma vs Lee | 0–3 | 0.00% |
| NOT Akuma vs Panda | 2–1 | 66.67% |
| NOT Akuma vs Reina | 0–3 | 0.00% |
| NOT Akuma vs Lidia | 2–1 | 66.67% |
| NOT Akuma vs Paul | 0–2 | 0.00% |
| NOT Akuma vs Kazuya | 2–0 | 100.00% |
| NOT Akuma vs Alisa | 0–2 | 0.00% |
| NOT Akuma vs Leroy | 0–2 | 0.00% |
| NOT Akuma vs Azucena | 2–0 | 100.00% |
| NOT Akuma vs Raven | 2–0 | 100.00% |
| NOT Akuma vs Eddy | 2–0 | 100.00% |
| NOT Akuma vs Armor King | 0–2 | 0.00% |
| NOT Akuma vs Law | 1–0 | 100.00% |
| NOT Akuma vs King | 0–1 | 0.00% |
| NOT Akuma vs Xiaoyu | 1–0 | 100.00% |
| NOT Akuma vs Jin | 0–1 | 0.00% |
| NOT Akuma vs Heihachi | 0–1 | 0.00% |
| NOT Akuma vs Miary Zo | 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.