| asdf vs Jin | 42–29 | 59.15% |
| asdf vs King | 42–25 | 62.69% |
| asdf vs Dragunov | 38–20 | 65.52% |
| asdf vs Reina | 33–17 | 66.00% |
| asdf vs Kazuya | 32–12 | 72.73% |
| asdf vs Lili | 25–16 | 60.98% |
| asdf vs Paul | 27–13 | 67.50% |
| asdf vs Asuka | 16–19 | 45.71% |
| asdf vs Hwoarang | 25–8 | 75.76% |
| asdf vs Xiaoyu | 19–12 | 61.29% |
| asdf vs Victor | 13–17 | 43.33% |
| asdf vs Steve | 20–8 | 71.43% |
| asdf vs Law | 16–9 | 64.00% |
| asdf vs Bryan | 15–8 | 65.22% |
| asdf vs Feng | 9–11 | 45.00% |
| asdf vs Devil Jin | 10–9 | 52.63% |
| asdf vs Claudio | 5–14 | 26.32% |
| asdf vs Lidia | 12–7 | 63.16% |
| asdf vs Eddy | 11–7 | 61.11% |
| asdf vs Leo | 12–5 | 70.59% |
| asdf vs Heihachi | 8–9 | 47.06% |
| asdf vs Nina | 10–6 | 62.50% |
| asdf vs Leroy | 9–7 | 56.25% |
| asdf vs Jun | 12–4 | 75.00% |
| asdf vs Alisa | 6–9 | 40.00% |
| asdf vs Kuma | 10–5 | 66.67% |
| asdf vs Yoshimitsu | 6–6 | 50.00% |
| asdf vs Lars | 5–7 | 41.67% |
| asdf vs Fahkumram | 6–6 | 50.00% |
| asdf vs Azucena | 7–4 | 63.64% |
| asdf vs Lee | 8–2 | 80.00% |
| asdf vs Zafina | 6–2 | 75.00% |
| asdf vs Armor King | 5–3 | 62.50% |
| asdf vs Jack-8 | 3–3 | 50.00% |
| asdf vs Shaheen | 2–4 | 33.33% |
| asdf vs Panda | 2–2 | 50.00% |
| asdf vs Clive | 1–3 | 25.00% |
| asdf vs Anna | 1–1 | 50.00% |
| asdf vs Raven | 1–0 | 100.00% |
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.