| aaaaa vs Kazuya | 29–21 | 58.00% |
| aaaaa vs King | 27–17 | 61.36% |
| aaaaa vs Jin | 27–17 | 61.36% |
| aaaaa vs Dragunov | 18–16 | 52.94% |
| aaaaa vs Steve | 21–9 | 70.00% |
| aaaaa vs Reina | 17–8 | 68.00% |
| aaaaa vs Nina | 14–7 | 66.67% |
| aaaaa vs Heihachi | 15–4 | 78.95% |
| aaaaa vs Devil Jin | 8–10 | 44.44% |
| aaaaa vs Yoshimitsu | 12–4 | 75.00% |
| aaaaa vs Law | 6–9 | 40.00% |
| aaaaa vs Lee | 11–4 | 73.33% |
| aaaaa vs Hwoarang | 6–8 | 42.86% |
| aaaaa vs Lars | 12–2 | 85.71% |
| aaaaa vs Eddy | 9–5 | 64.29% |
| aaaaa vs Victor | 11–2 | 84.62% |
| aaaaa vs Bryan | 8–4 | 66.67% |
| aaaaa vs Clive | 8–4 | 66.67% |
| aaaaa vs Anna | 5–6 | 45.45% |
| aaaaa vs Paul | 6–4 | 60.00% |
| aaaaa vs Feng | 2–8 | 20.00% |
| aaaaa vs Lili | 6–3 | 66.67% |
| aaaaa vs Claudio | 7–2 | 77.78% |
| aaaaa vs Fahkumram | 8–1 | 88.89% |
| aaaaa vs Asuka | 7–1 | 87.50% |
| aaaaa vs Leo | 7–1 | 87.50% |
| aaaaa vs Leroy | 5–2 | 71.43% |
| aaaaa vs Azucena | 7–0 | 100.00% |
| aaaaa vs Shaheen | 6–0 | 100.00% |
| aaaaa vs Armor King | 4–2 | 66.67% |
| aaaaa vs Kuma | 2–3 | 40.00% |
| aaaaa vs Raven | 4–0 | 100.00% |
| aaaaa vs Jun | 1–2 | 33.33% |
| aaaaa vs Xiaoyu | 2–0 | 100.00% |
| aaaaa vs Zafina | 2–0 | 100.00% |
| aaaaa vs Lidia | 2–0 | 100.00% |
| aaaaa vs Alisa | 1–0 | 100.00% |
| aaaaa vs Panda | 0–1 | 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.