| AkumaEnjoyer vs Law | 4–3 | 57.14% |
| AkumaEnjoyer vs King | 4–3 | 57.14% |
| AkumaEnjoyer vs Lili | 5–2 | 71.43% |
| AkumaEnjoyer vs Hwoarang | 2–4 | 33.33% |
| AkumaEnjoyer vs Steve | 5–1 | 83.33% |
| AkumaEnjoyer vs Miary Zo | 3–3 | 50.00% |
| AkumaEnjoyer vs Feng | 0–4 | 0.00% |
| AkumaEnjoyer vs Victor | 0–4 | 0.00% |
| AkumaEnjoyer vs Jin | 1–2 | 33.33% |
| AkumaEnjoyer vs Clive | 1–2 | 33.33% |
| AkumaEnjoyer vs Bryan | 0–2 | 0.00% |
| AkumaEnjoyer vs Panda | 0–2 | 0.00% |
| AkumaEnjoyer vs Jun | 0–2 | 0.00% |
| AkumaEnjoyer vs Eddy | 0–2 | 0.00% |
| AkumaEnjoyer vs Lidia | 2–0 | 100.00% |
| AkumaEnjoyer vs Dragunov | 0–1 | 0.00% |
| AkumaEnjoyer vs Leo | 0–1 | 0.00% |
| AkumaEnjoyer vs Lars | 1–0 | 100.00% |
| AkumaEnjoyer vs Reina | 0–1 | 0.00% |
| AkumaEnjoyer vs Azucena | 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.