| AilnSoO vs Kazuya | 188–131 | 58.93% |
| AilnSoO vs Jin | 127–134 | 48.66% |
| AilnSoO vs Bryan | 128–131 | 49.42% |
| AilnSoO vs King | 124–132 | 48.44% |
| AilnSoO vs Dragunov | 101–110 | 47.87% |
| AilnSoO vs Yoshimitsu | 115–70 | 62.16% |
| AilnSoO vs Law | 96–72 | 57.14% |
| AilnSoO vs Hwoarang | 80–87 | 47.90% |
| AilnSoO vs Devil Jin | 98–67 | 59.39% |
| AilnSoO vs Reina | 84–76 | 52.50% |
| AilnSoO vs Lee | 90–65 | 58.06% |
| AilnSoO vs Heihachi | 73–79 | 48.03% |
| AilnSoO vs Victor | 110–39–1 | 73.83% |
| AilnSoO vs Anna | 71–71 | 50.00% |
| AilnSoO vs Paul | 74–52 | 58.73% |
| AilnSoO vs Steve | 74–52 | 58.73% |
| AilnSoO vs Lars | 58–63 | 47.93% |
| AilnSoO vs Feng | 70–47 | 59.83% |
| AilnSoO vs Asuka | 60–56 | 51.72% |
| AilnSoO vs Jack-8 | 69–44 | 61.06% |
| AilnSoO vs Nina | 43–56 | 43.43% |
| AilnSoO vs Lili | 38–60 | 38.78% |
| AilnSoO vs Claudio | 32–60 | 34.78% |
| AilnSoO vs Alisa | 60–27 | 68.97% |
| AilnSoO vs Kuma | 36–33 | 52.17% |
| AilnSoO vs Jun | 31–37 | 45.59% |
| AilnSoO vs Clive | 27–38 | 41.54% |
| AilnSoO vs Raven | 29–34 | 46.03% |
| AilnSoO vs Fahkumram | 31–32 | 49.21% |
| AilnSoO vs Shaheen | 32–30 | 51.61% |
| AilnSoO vs Eddy | 28–34 | 45.16% |
| AilnSoO vs Zafina | 26–33 | 44.07% |
| AilnSoO vs Azucena | 34–25 | 57.63% |
| AilnSoO vs Xiaoyu | 24–30 | 44.44% |
| AilnSoO vs Leo | 21–31 | 40.38% |
| AilnSoO vs Lidia | 18–21 | 46.15% |
| AilnSoO vs Leroy | 13–21 | 38.24% |
| AilnSoO vs Armor King | 13–13 | 50.00% |
| AilnSoO vs Panda | 2–4 | 33.33% |
| AilnSoO vs Miary Zo | 3–3 | 50.00% |
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.