| AstonFray vs Law | 80–75 | 51.61% |
| AstonFray vs Bryan | 67–80 | 45.58% |
| AstonFray vs Jin | 81–63–1 | 56.25% |
| AstonFray vs King | 65–62 | 51.18% |
| AstonFray vs Dragunov | 58–60 | 49.15% |
| AstonFray vs Heihachi | 58–50 | 53.70% |
| AstonFray vs Hwoarang | 38–66 | 36.54% |
| AstonFray vs Lars | 63–41 | 60.58% |
| AstonFray vs Reina | 55–43 | 56.12% |
| AstonFray vs Lili | 49–46 | 51.58% |
| AstonFray vs Kazuya | 43–51 | 45.74% |
| AstonFray vs Steve | 44–47 | 48.35% |
| AstonFray vs Paul | 45–42 | 51.72% |
| AstonFray vs Jun | 38–44–2 | 46.34% |
| AstonFray vs Asuka | 47–36 | 56.63% |
| AstonFray vs Devil Jin | 35–48 | 42.17% |
| AstonFray vs Leo | 47–35 | 57.32% |
| AstonFray vs Victor | 36–46 | 43.90% |
| AstonFray vs Xiaoyu | 39–35 | 52.70% |
| AstonFray vs Lee | 43–30 | 58.90% |
| AstonFray vs Yoshimitsu | 39–28 | 58.21% |
| AstonFray vs Feng | 27–39 | 40.91% |
| AstonFray vs Shaheen | 28–33 | 45.90% |
| AstonFray vs Eddy | 27–27 | 50.00% |
| AstonFray vs Nina | 24–28 | 46.15% |
| AstonFray vs Alisa | 22–26 | 45.83% |
| AstonFray vs Zafina | 23–22 | 51.11% |
| AstonFray vs Azucena | 21–21 | 50.00% |
| AstonFray vs Kuma | 17–24 | 41.46% |
| AstonFray vs Claudio | 16–24 | 40.00% |
| AstonFray vs Lidia | 16–21 | 43.24% |
| AstonFray vs Armor King | 14–21 | 40.00% |
| AstonFray vs Fahkumram | 20–13 | 60.61% |
| AstonFray vs Jack-8 | 8–24 | 25.00% |
| AstonFray vs Clive | 16–14 | 53.33% |
| AstonFray vs Anna | 10–14 | 41.67% |
| AstonFray vs Leroy | 12–11 | 52.17% |
| AstonFray vs Raven | 8–14 | 36.36% |
| AstonFray vs Panda | 11–10 | 52.38% |
| AstonFray vs Miary Zo | 5–10 | 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.