| St_AsurA vs Bryan | 67–38 | 63.81% |
| St_AsurA vs King | 57–45 | 55.88% |
| St_AsurA vs Lee | 52–43 | 54.74% |
| St_AsurA vs Dragunov | 42–37 | 53.16% |
| St_AsurA vs Kazuya | 45–33 | 57.69% |
| St_AsurA vs Steve | 34–43 | 44.16% |
| St_AsurA vs Raven | 27–41 | 39.71% |
| St_AsurA vs Hwoarang | 34–33 | 50.75% |
| St_AsurA vs Lili | 37–27 | 57.81% |
| St_AsurA vs Armor King | 30–26 | 53.57% |
| St_AsurA vs Heihachi | 27–27 | 50.00% |
| St_AsurA vs Law | 27–26 | 50.94% |
| St_AsurA vs Xiaoyu | 25–23 | 52.08% |
| St_AsurA vs Lars | 24–24 | 50.00% |
| St_AsurA vs Jin | 23–23 | 50.00% |
| St_AsurA vs Reina | 18–23 | 43.90% |
| St_AsurA vs Paul | 15–25 | 37.50% |
| St_AsurA vs Victor | 13–24 | 35.14% |
| St_AsurA vs Yoshimitsu | 22–14 | 61.11% |
| St_AsurA vs Devil Jin | 16–17 | 48.48% |
| St_AsurA vs Leroy | 17–15 | 53.12% |
| St_AsurA vs Alisa | 17–13 | 56.67% |
| St_AsurA vs Eddy | 11–18 | 37.93% |
| St_AsurA vs Jack-8 | 13–15 | 46.43% |
| St_AsurA vs Shaheen | 15–11 | 57.69% |
| St_AsurA vs Feng | 8–15 | 34.78% |
| St_AsurA vs Asuka | 8–14 | 36.36% |
| St_AsurA vs Azucena | 9–10 | 47.37% |
| St_AsurA vs Nina | 7–11 | 38.89% |
| St_AsurA vs Claudio | 10–7 | 58.82% |
| St_AsurA vs Anna | 3–13 | 18.75% |
| St_AsurA vs Zafina | 8–7 | 53.33% |
| St_AsurA vs Fahkumram | 13–2 | 86.67% |
| St_AsurA vs Leo | 6–7 | 46.15% |
| St_AsurA vs Jun | 8–4 | 66.67% |
| St_AsurA vs Lidia | 8–3 | 72.73% |
| St_AsurA vs Miary Zo | 3–7 | 30.00% |
| St_AsurA vs Panda | 1–4 | 20.00% |
| St_AsurA vs Clive | 4–0 | 100.00% |
| St_AsurA vs Kuma | 0–3 | 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.