| aiqqqqq vs Jin | 47–38 | 55.29% |
| aiqqqqq vs Kazuya | 43–36 | 54.43% |
| aiqqqqq vs Steve | 31–35 | 46.97% |
| aiqqqqq vs Paul | 17–39 | 30.36% |
| aiqqqqq vs Bryan | 31–24 | 56.36% |
| aiqqqqq vs Hwoarang | 29–22 | 56.86% |
| aiqqqqq vs King | 20–29 | 40.82% |
| aiqqqqq vs Fahkumram | 22–22 | 50.00% |
| aiqqqqq vs Dragunov | 22–21 | 51.16% |
| aiqqqqq vs Armor King | 22–15 | 59.46% |
| aiqqqqq vs Law | 10–24 | 29.41% |
| aiqqqqq vs Reina | 24–10 | 70.59% |
| aiqqqqq vs Yoshimitsu | 15–18 | 45.45% |
| aiqqqqq vs Asuka | 21–10 | 67.74% |
| aiqqqqq vs Lars | 9–20 | 31.03% |
| aiqqqqq vs Eddy | 13–14 | 48.15% |
| aiqqqqq vs Victor | 12–14 | 46.15% |
| aiqqqqq vs Devil Jin | 10–14 | 41.67% |
| aiqqqqq vs Lili | 11–13 | 45.83% |
| aiqqqqq vs Jack-8 | 14–8 | 63.64% |
| aiqqqqq vs Alisa | 6–14 | 30.00% |
| aiqqqqq vs Xiaoyu | 12–7 | 63.16% |
| aiqqqqq vs Nina | 14–5 | 73.68% |
| aiqqqqq vs Azucena | 9–10 | 47.37% |
| aiqqqqq vs Anna | 8–11 | 42.11% |
| aiqqqqq vs Jun | 8–9 | 47.06% |
| aiqqqqq vs Lidia | 9–8 | 52.94% |
| aiqqqqq vs Feng | 5–10 | 33.33% |
| aiqqqqq vs Leroy | 7–8 | 46.67% |
| aiqqqqq vs Lee | 7–7 | 50.00% |
| aiqqqqq vs Leo | 7–6 | 53.85% |
| aiqqqqq vs Heihachi | 4–9 | 30.77% |
| aiqqqqq vs Clive | 5–6 | 45.45% |
| aiqqqqq vs Shaheen | 5–5 | 50.00% |
| aiqqqqq vs Zafina | 4–5 | 44.44% |
| aiqqqqq vs Kuma | 3–3 | 50.00% |
| aiqqqqq vs Raven | 3–3 | 50.00% |
| aiqqqqq vs Miary Zo | 4–1 | 80.00% |
| aiqqqqq vs Claudio | 2–2 | 50.00% |
| aiqqqqq vs Panda | 0–4 | 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.