| AomameMJ vs Kazuya | 85–47 | 64.39% |
| AomameMJ vs Steve | 54–34 | 61.36% |
| AomameMJ vs Jin | 63–17 | 78.75% |
| AomameMJ vs Armor King | 41–38 | 51.90% |
| AomameMJ vs Hwoarang | 51–25 | 67.11% |
| AomameMJ vs Heihachi | 39–37 | 51.32% |
| AomameMJ vs King | 46–29 | 61.33% |
| AomameMJ vs Bryan | 54–20 | 72.97% |
| AomameMJ vs Lee | 43–31 | 58.11% |
| AomameMJ vs Reina | 31–23 | 57.41% |
| AomameMJ vs Devil Jin | 25–28 | 47.17% |
| AomameMJ vs Paul | 31–20 | 60.78% |
| AomameMJ vs Dragunov | 34–17 | 66.67% |
| AomameMJ vs Law | 26–22 | 54.17% |
| AomameMJ vs Yoshimitsu | 29–18 | 61.70% |
| AomameMJ vs Lili | 27–20 | 57.45% |
| AomameMJ vs Asuka | 27–15 | 64.29% |
| AomameMJ vs Feng | 24–16 | 60.00% |
| AomameMJ vs Claudio | 22–14 | 61.11% |
| AomameMJ vs Leo | 20–13 | 60.61% |
| AomameMJ vs Jack-8 | 17–13 | 56.67% |
| AomameMJ vs Nina | 21–8 | 72.41% |
| AomameMJ vs Azucena | 15–11 | 57.69% |
| AomameMJ vs Leroy | 14–10 | 58.33% |
| AomameMJ vs Lars | 13–10 | 56.52% |
| AomameMJ vs Jun | 6–14 | 30.00% |
| AomameMJ vs Victor | 10–8 | 55.56% |
| AomameMJ vs Raven | 6–10 | 37.50% |
| AomameMJ vs Xiaoyu | 6–9 | 40.00% |
| AomameMJ vs Eddy | 7–8 | 46.67% |
| AomameMJ vs Fahkumram | 9–5 | 64.29% |
| AomameMJ vs Shaheen | 6–7 | 46.15% |
| AomameMJ vs Zafina | 6–7 | 46.15% |
| AomameMJ vs Anna | 8–5 | 61.54% |
| AomameMJ vs Lidia | 6–6 | 50.00% |
| AomameMJ vs Panda | 5–5 | 50.00% |
| AomameMJ vs Kuma | 5–4 | 55.56% |
| AomameMJ vs Miary Zo | 2–6 | 25.00% |
| AomameMJ vs Clive | 1–6 | 14.29% |
| AomameMJ vs Alisa | 2–4 | 33.33% |
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.