| At0ksenpa1 vs Dragunov | 44–26 | 62.86% |
| At0ksenpa1 vs Hwoarang | 18–27 | 40.00% |
| At0ksenpa1 vs Azucena | 28–17 | 62.22% |
| At0ksenpa1 vs King | 22–22 | 50.00% |
| At0ksenpa1 vs Kazuya | 21–18 | 53.85% |
| At0ksenpa1 vs Shaheen | 16–23 | 41.03% |
| At0ksenpa1 vs Jin | 14–22 | 38.89% |
| At0ksenpa1 vs Bryan | 20–16 | 55.56% |
| At0ksenpa1 vs Eddy | 24–12 | 66.67% |
| At0ksenpa1 vs Raven | 14–20 | 41.18% |
| At0ksenpa1 vs Law | 24–9 | 72.73% |
| At0ksenpa1 vs Yoshimitsu | 20–13 | 60.61% |
| At0ksenpa1 vs Steve | 24–8 | 75.00% |
| At0ksenpa1 vs Jun | 15–15 | 50.00% |
| At0ksenpa1 vs Paul | 18–10 | 64.29% |
| At0ksenpa1 vs Lili | 17–11 | 60.71% |
| At0ksenpa1 vs Leroy | 15–13 | 53.57% |
| At0ksenpa1 vs Leo | 15–12 | 55.56% |
| At0ksenpa1 vs Claudio | 15–12 | 55.56% |
| At0ksenpa1 vs Zafina | 14–13 | 51.85% |
| At0ksenpa1 vs Reina | 16–10 | 61.54% |
| At0ksenpa1 vs Xiaoyu | 10–15 | 40.00% |
| At0ksenpa1 vs Feng | 16–9 | 64.00% |
| At0ksenpa1 vs Lee | 14–11 | 56.00% |
| At0ksenpa1 vs Asuka | 13–11 | 54.17% |
| At0ksenpa1 vs Victor | 8–15 | 34.78% |
| At0ksenpa1 vs Devil Jin | 16–4 | 80.00% |
| At0ksenpa1 vs Lars | 7–13 | 35.00% |
| At0ksenpa1 vs Kuma | 11–9 | 55.00% |
| At0ksenpa1 vs Jack-8 | 7–11 | 38.89% |
| At0ksenpa1 vs Anna | 7–6 | 53.85% |
| At0ksenpa1 vs Nina | 7–5 | 58.33% |
| At0ksenpa1 vs Panda | 5–6 | 45.45% |
| At0ksenpa1 vs Alisa | 5–5 | 50.00% |
| At0ksenpa1 vs Clive | 3–7 | 30.00% |
| At0ksenpa1 vs Lidia | 2–6 | 25.00% |
| At0ksenpa1 vs Heihachi | 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.