| AcaMarakana vs Jin | 28–33 | 45.90% |
| AcaMarakana vs King | 16–29 | 35.56% |
| AcaMarakana vs Hwoarang | 11–14 | 44.00% |
| AcaMarakana vs Law | 12–12 | 50.00% |
| AcaMarakana vs Reina | 10–11 | 47.62% |
| AcaMarakana vs Yoshimitsu | 9–8 | 52.94% |
| AcaMarakana vs Eddy | 8–9 | 47.06% |
| AcaMarakana vs Bryan | 7–9 | 43.75% |
| AcaMarakana vs Kazuya | 7–9 | 43.75% |
| AcaMarakana vs Steve | 5–9 | 35.71% |
| AcaMarakana vs Dragunov | 5–9 | 35.71% |
| AcaMarakana vs Victor | 7–7 | 50.00% |
| AcaMarakana vs Lee | 4–7 | 36.36% |
| AcaMarakana vs Paul | 6–3 | 66.67% |
| AcaMarakana vs Asuka | 6–3 | 66.67% |
| AcaMarakana vs Feng | 4–5 | 44.44% |
| AcaMarakana vs Lars | 3–6 | 33.33% |
| AcaMarakana vs Jun | 5–4 | 55.56% |
| AcaMarakana vs Azucena | 3–6 | 33.33% |
| AcaMarakana vs Devil Jin | 3–5 | 37.50% |
| AcaMarakana vs Lili | 1–6 | 14.29% |
| AcaMarakana vs Xiaoyu | 2–4 | 33.33% |
| AcaMarakana vs Alisa | 4–2 | 66.67% |
| AcaMarakana vs Nina | 3–3 | 50.00% |
| AcaMarakana vs Fahkumram | 4–2 | 66.67% |
| AcaMarakana vs Lidia | 4–0 | 100.00% |
| AcaMarakana vs Heihachi | 0–4 | 0.00% |
| AcaMarakana vs Jack-8 | 1–2 | 33.33% |
| AcaMarakana vs Panda | 2–1 | 66.67% |
| AcaMarakana vs Zafina | 0–3 | 0.00% |
| AcaMarakana vs Leo | 0–2 | 0.00% |
| AcaMarakana vs Claudio | 0–2 | 0.00% |
| AcaMarakana vs Shaheen | 2–0 | 100.00% |
| AcaMarakana vs Anna | 2–0 | 100.00% |
| AcaMarakana vs Leroy | 0–1 | 0.00% |
| AcaMarakana vs Raven | 1–0 | 100.00% |
| AcaMarakana vs Clive | 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.