| aerix0 vs Steve | 20–51 | 28.17% |
| aerix0 vs King | 18–36 | 33.33% |
| aerix0 vs Reina | 21–18 | 53.85% |
| aerix0 vs Dragunov | 8–27 | 22.86% |
| aerix0 vs Hwoarang | 10–23 | 30.30% |
| aerix0 vs Jin | 6–26 | 18.75% |
| aerix0 vs Lars | 6–20 | 23.08% |
| aerix0 vs Armor King | 4–21 | 16.00% |
| aerix0 vs Yoshimitsu | 8–13 | 38.10% |
| aerix0 vs Bryan | 4–16 | 20.00% |
| aerix0 vs Alisa | 11–7 | 61.11% |
| aerix0 vs Asuka | 2–15 | 11.76% |
| aerix0 vs Lili | 7–10 | 41.18% |
| aerix0 vs Fahkumram | 3–13 | 18.75% |
| aerix0 vs Kazuya | 2–10 | 16.67% |
| aerix0 vs Jun | 7–5 | 58.33% |
| aerix0 vs Azucena | 1–10 | 9.09% |
| aerix0 vs Eddy | 4–7 | 36.36% |
| aerix0 vs Clive | 4–7 | 36.36% |
| aerix0 vs Law | 4–5 | 44.44% |
| aerix0 vs Victor | 2–7 | 22.22% |
| aerix0 vs Paul | 0–7 | 0.00% |
| aerix0 vs Devil Jin | 4–3 | 57.14% |
| aerix0 vs Xiaoyu | 0–5 | 0.00% |
| aerix0 vs Miary Zo | 2–3 | 40.00% |
| aerix0 vs Nina | 0–3 | 0.00% |
| aerix0 vs Zafina | 2–1 | 66.67% |
| aerix0 vs Leroy | 1–2 | 33.33% |
| aerix0 vs Raven | 1–2 | 33.33% |
| aerix0 vs Lidia | 0–3 | 0.00% |
| aerix0 vs Heihachi | 1–2 | 33.33% |
| aerix0 vs Jack-8 | 0–2 | 0.00% |
| aerix0 vs Leo | 2–0 | 100.00% |
| aerix0 vs Claudio | 0–2 | 0.00% |
| aerix0 vs Shaheen | 2–0 | 100.00% |
| aerix0 vs Kuma | 0–2 | 0.00% |
| aerix0 vs Anna | 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.