| Asphartu vs Yoshimitsu | 74–57 | 56.49% |
| Asphartu vs Hwoarang | 67–64 | 51.15% |
| Asphartu vs Dragunov | 54–59 | 47.79% |
| Asphartu vs Paul | 67–41 | 62.04% |
| Asphartu vs Reina | 47–56 | 45.63% |
| Asphartu vs Jin | 59–42 | 58.42% |
| Asphartu vs King | 46–54 | 46.00% |
| Asphartu vs Lili | 48–47 | 50.53% |
| Asphartu vs Asuka | 51–42 | 54.84% |
| Asphartu vs Bryan | 40–51 | 43.96% |
| Asphartu vs Kazuya | 41–44 | 48.24% |
| Asphartu vs Steve | 38–41 | 48.10% |
| Asphartu vs Law | 34–42 | 44.74% |
| Asphartu vs Nina | 30–45 | 40.00% |
| Asphartu vs Lars | 44–24 | 64.71% |
| Asphartu vs Victor | 21–47 | 30.88% |
| Asphartu vs Alisa | 37–27 | 57.81% |
| Asphartu vs Zafina | 30–34 | 46.88% |
| Asphartu vs Feng | 29–33 | 46.77% |
| Asphartu vs Xiaoyu | 31–27 | 53.45% |
| Asphartu vs Lee | 27–31 | 46.55% |
| Asphartu vs Azucena | 29–29 | 50.00% |
| Asphartu vs Leroy | 30–19 | 61.22% |
| Asphartu vs Jack-8 | 23–25 | 47.92% |
| Asphartu vs Devil Jin | 22–26 | 45.83% |
| Asphartu vs Jun | 26–20 | 56.52% |
| Asphartu vs Leo | 19–25 | 43.18% |
| Asphartu vs Claudio | 14–29 | 32.56% |
| Asphartu vs Eddy | 20–20 | 50.00% |
| Asphartu vs Raven | 17–20 | 45.95% |
| Asphartu vs Lidia | 15–11 | 57.69% |
| Asphartu vs Kuma | 14–6 | 70.00% |
| Asphartu vs Shaheen | 11–7 | 61.11% |
| Asphartu vs Heihachi | 6–9 | 40.00% |
| Asphartu vs Panda | 2–6 | 25.00% |
| Asphartu vs Armor King | 3–5 | 37.50% |
| Asphartu vs Miary Zo | 4–2 | 66.67% |
| Asphartu vs Clive | 0–4 | 0.00% |
| Asphartu vs Anna | 2–1 | 66.67% |
| Asphartu vs Fahkumram | 0–2 | 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.