| AkiraDcj vs King | 63–45 | 58.33% |
| AkiraDcj vs Kazuya | 59–47 | 55.66% |
| AkiraDcj vs Reina | 44–51 | 46.32% |
| AkiraDcj vs Jin | 38–37 | 50.67% |
| AkiraDcj vs Hwoarang | 40–34 | 54.05% |
| AkiraDcj vs Lili | 32–31 | 50.79% |
| AkiraDcj vs Steve | 33–29 | 53.23% |
| AkiraDcj vs Law | 41–19 | 68.33% |
| AkiraDcj vs Lidia | 35–23 | 60.34% |
| AkiraDcj vs Asuka | 40–16 | 71.43% |
| AkiraDcj vs Azucena | 33–23 | 58.93% |
| AkiraDcj vs Dragunov | 31–24 | 56.36% |
| AkiraDcj vs Jun | 32–20 | 61.54% |
| AkiraDcj vs Paul | 28–19–1 | 59.57% |
| AkiraDcj vs Bryan | 20–27 | 42.55% |
| AkiraDcj vs Lars | 22–25 | 46.81% |
| AkiraDcj vs Lee | 18–21 | 46.15% |
| AkiraDcj vs Clive | 26–13 | 66.67% |
| AkiraDcj vs Devil Jin | 19–19 | 50.00% |
| AkiraDcj vs Victor | 18–20 | 47.37% |
| AkiraDcj vs Raven | 17–21 | 44.74% |
| AkiraDcj vs Xiaoyu | 17–20 | 45.95% |
| AkiraDcj vs Feng | 20–17 | 54.05% |
| AkiraDcj vs Yoshimitsu | 18–16 | 52.94% |
| AkiraDcj vs Heihachi | 17–17 | 50.00% |
| AkiraDcj vs Leroy | 19–14 | 57.58% |
| AkiraDcj vs Zafina | 20–11 | 64.52% |
| AkiraDcj vs Leo | 15–14 | 51.72% |
| AkiraDcj vs Eddy | 14–14 | 50.00% |
| AkiraDcj vs Nina | 16–7 | 69.57% |
| AkiraDcj vs Claudio | 11–11 | 50.00% |
| AkiraDcj vs Kuma | 8–13 | 38.10% |
| AkiraDcj vs Alisa | 10–10 | 50.00% |
| AkiraDcj vs Jack-8 | 6–10 | 37.50% |
| AkiraDcj vs Panda | 8–5 | 61.54% |
| AkiraDcj vs Shaheen | 3–5 | 37.50% |
| AkiraDcj vs Anna | 3–0 | 100.00% |
| AkiraDcj vs Fahkumram | 3–0 | 100.00% |
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.