| AkiraAwesome vs Eddy | 12–29 | 29.27% |
| AkiraAwesome vs King | 15–18 | 45.45% |
| AkiraAwesome vs Reina | 13–16 | 44.83% |
| AkiraAwesome vs Jin | 10–17 | 37.04% |
| AkiraAwesome vs Kazuya | 8–14 | 36.36% |
| AkiraAwesome vs Law | 6–14 | 30.00% |
| AkiraAwesome vs Steve | 6–13 | 31.58% |
| AkiraAwesome vs Azucena | 11–8 | 57.89% |
| AkiraAwesome vs Heihachi | 10–9 | 52.63% |
| AkiraAwesome vs Yoshimitsu | 4–9 | 30.77% |
| AkiraAwesome vs Jun | 4–9 | 30.77% |
| AkiraAwesome vs Bryan | 4–7 | 36.36% |
| AkiraAwesome vs Asuka | 5–6 | 45.45% |
| AkiraAwesome vs Dragunov | 7–4 | 63.64% |
| AkiraAwesome vs Feng | 5–5 | 50.00% |
| AkiraAwesome vs Claudio | 2–8 | 20.00% |
| AkiraAwesome vs Leroy | 5–5 | 50.00% |
| AkiraAwesome vs Paul | 2–6–1 | 25.00% |
| AkiraAwesome vs Hwoarang | 6–3 | 66.67% |
| AkiraAwesome vs Leo | 6–2 | 75.00% |
| AkiraAwesome vs Lee | 7–1 | 87.50% |
| AkiraAwesome vs Xiaoyu | 3–4 | 42.86% |
| AkiraAwesome vs Lili | 3–4 | 42.86% |
| AkiraAwesome vs Lars | 2–5 | 28.57% |
| AkiraAwesome vs Alisa | 2–5 | 28.57% |
| AkiraAwesome vs Devil Jin | 1–4 | 20.00% |
| AkiraAwesome vs Shaheen | 1–4 | 20.00% |
| AkiraAwesome vs Nina | 4–1 | 80.00% |
| AkiraAwesome vs Kuma | 1–4 | 20.00% |
| AkiraAwesome vs Victor | 0–5 | 0.00% |
| AkiraAwesome vs Lidia | 0–5 | 0.00% |
| AkiraAwesome vs Zafina | 1–2 | 33.33% |
| AkiraAwesome vs Clive | 1–2 | 33.33% |
| AkiraAwesome vs Raven | 0–2 | 0.00% |
| AkiraAwesome vs Anna | 2–0 | 100.00% |
| AkiraAwesome vs Jack-8 | 0–1 | 0.00% |
| AkiraAwesome vs Panda | 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.