| AKURA vs King | 47–7 | 87.04% |
| AKURA vs Dragunov | 31–14 | 68.89% |
| AKURA vs Steve | 32–2 | 94.12% |
| AKURA vs Bryan | 20–11 | 64.52% |
| AKURA vs Reina | 24–6 | 80.00% |
| AKURA vs Jin | 27–2 | 93.10% |
| AKURA vs Kazuya | 20–6 | 76.92% |
| AKURA vs Heihachi | 13–8 | 61.90% |
| AKURA vs Jun | 17–3 | 85.00% |
| AKURA vs Hwoarang | 17–2 | 89.47% |
| AKURA vs Xiaoyu | 16–2 | 88.89% |
| AKURA vs Lee | 12–6 | 66.67% |
| AKURA vs Devil Jin | 12–5 | 70.59% |
| AKURA vs Lili | 12–3 | 80.00% |
| AKURA vs Leo | 9–6 | 60.00% |
| AKURA vs Law | 12–2 | 85.71% |
| AKURA vs Yoshimitsu | 9–5 | 64.29% |
| AKURA vs Jack-8 | 12–2 | 85.71% |
| AKURA vs Lars | 12–2 | 85.71% |
| AKURA vs Fahkumram | 14–0 | 100.00% |
| AKURA vs Nina | 9–3 | 75.00% |
| AKURA vs Asuka | 10–1 | 90.91% |
| AKURA vs Shaheen | 10–1 | 90.91% |
| AKURA vs Azucena | 6–5 | 54.55% |
| AKURA vs Victor | 9–1 | 90.00% |
| AKURA vs Eddy | 6–3 | 66.67% |
| AKURA vs Paul | 8–0 | 100.00% |
| AKURA vs Feng | 5–3 | 62.50% |
| AKURA vs Alisa | 5–3 | 62.50% |
| AKURA vs Claudio | 7–1 | 87.50% |
| AKURA vs Leroy | 5–3 | 62.50% |
| AKURA vs Lidia | 8–0 | 100.00% |
| AKURA vs Kuma | 5–0 | 100.00% |
| AKURA vs Clive | 4–0 | 100.00% |
| AKURA vs Raven | 0–2 | 0.00% |
| AKURA vs Anna | 2–0 | 100.00% |
| AKURA vs Zafina | 1–0 | 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.