| AsstaMlk vs Fahkumram | 52–63 | 45.22% |
| AsstaMlk vs Jin | 45–43 | 51.14% |
| AsstaMlk vs Kazuya | 43–43 | 50.00% |
| AsstaMlk vs Bryan | 38–36 | 51.35% |
| AsstaMlk vs Law | 33–38 | 46.48% |
| AsstaMlk vs Heihachi | 32–35 | 47.76% |
| AsstaMlk vs Dragunov | 31–34 | 47.69% |
| AsstaMlk vs Hwoarang | 30–30 | 50.00% |
| AsstaMlk vs Reina | 34–23 | 59.65% |
| AsstaMlk vs Steve | 27–23 | 54.00% |
| AsstaMlk vs Armor King | 29–20 | 59.18% |
| AsstaMlk vs Lili | 28–14 | 66.67% |
| AsstaMlk vs King | 16–24 | 40.00% |
| AsstaMlk vs Jun | 10–27 | 27.03% |
| AsstaMlk vs Paul | 16–18 | 47.06% |
| AsstaMlk vs Asuka | 25–9 | 73.53% |
| AsstaMlk vs Yoshimitsu | 16–17 | 48.48% |
| AsstaMlk vs Devil Jin | 14–19 | 42.42% |
| AsstaMlk vs Clive | 14–12 | 53.85% |
| AsstaMlk vs Anna | 16–9 | 64.00% |
| AsstaMlk vs Leroy | 17–6 | 73.91% |
| AsstaMlk vs Lee | 10–12 | 45.45% |
| AsstaMlk vs Azucena | 11–10 | 52.38% |
| AsstaMlk vs Leo | 11–9 | 55.00% |
| AsstaMlk vs Lars | 9–11 | 45.00% |
| AsstaMlk vs Feng | 10–9 | 52.63% |
| AsstaMlk vs Claudio | 11–8 | 57.89% |
| AsstaMlk vs Eddy | 10–8 | 55.56% |
| AsstaMlk vs Raven | 9–8 | 52.94% |
| AsstaMlk vs Victor | 9–6 | 60.00% |
| AsstaMlk vs Xiaoyu | 9–5 | 64.29% |
| AsstaMlk vs Lidia | 6–6 | 50.00% |
| AsstaMlk vs Nina | 7–3 | 70.00% |
| AsstaMlk vs Alisa | 5–3 | 62.50% |
| AsstaMlk vs Zafina | 5–3 | 62.50% |
| AsstaMlk vs Jack-8 | 2–4 | 33.33% |
| AsstaMlk vs Kuma | 0–5 | 0.00% |
| AsstaMlk vs Shaheen | 2–2 | 50.00% |
| AsstaMlk vs Panda | 0–4 | 0.00% |
| AsstaMlk vs Miary Zo | 0–3 | 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.