| Atrain_ vs Jin | 23–37 | 38.33% |
| Atrain_ vs Kazuya | 16–39 | 29.09% |
| Atrain_ vs King | 26–26 | 50.00% |
| Atrain_ vs Bryan | 20–24 | 45.45% |
| Atrain_ vs Hwoarang | 14–23 | 37.84% |
| Atrain_ vs Law | 21–15 | 58.33% |
| Atrain_ vs Dragunov | 13–22 | 37.14% |
| Atrain_ vs Steve | 15–18 | 45.45% |
| Atrain_ vs Reina | 15–16 | 48.39% |
| Atrain_ vs Fahkumram | 12–18 | 40.00% |
| Atrain_ vs Paul | 11–17 | 39.29% |
| Atrain_ vs Lili | 13–14 | 48.15% |
| Atrain_ vs Yoshimitsu | 15–8 | 65.22% |
| Atrain_ vs Lars | 9–10 | 47.37% |
| Atrain_ vs Claudio | 12–7 | 63.16% |
| Atrain_ vs Jun | 11–8 | 57.89% |
| Atrain_ vs Clive | 9–10 | 47.37% |
| Atrain_ vs Azucena | 7–11 | 38.89% |
| Atrain_ vs Eddy | 7–11 | 38.89% |
| Atrain_ vs Heihachi | 5–12 | 29.41% |
| Atrain_ vs Anna | 7–9 | 43.75% |
| Atrain_ vs Nina | 4–11 | 26.67% |
| Atrain_ vs Victor | 3–9 | 25.00% |
| Atrain_ vs Jack-8 | 5–6 | 45.45% |
| Atrain_ vs Devil Jin | 5–6 | 45.45% |
| Atrain_ vs Xiaoyu | 5–5 | 50.00% |
| Atrain_ vs Asuka | 5–5 | 50.00% |
| Atrain_ vs Leroy | 2–8 | 20.00% |
| Atrain_ vs Alisa | 1–7 | 12.50% |
| Atrain_ vs Feng | 0–7 | 0.00% |
| Atrain_ vs Lidia | 3–4 | 42.86% |
| Atrain_ vs Lee | 1–4 | 20.00% |
| Atrain_ vs Kuma | 1–4 | 20.00% |
| Atrain_ vs Panda | 2–3 | 40.00% |
| Atrain_ vs Leo | 0–4 | 0.00% |
| Atrain_ vs Armor King | 1–2 | 33.33% |
| Atrain_ vs Raven | 1–1 | 50.00% |
| Atrain_ vs Miary Zo | 2–0 | 100.00% |
| Atrain_ vs Shaheen | 1–0 | 100.00% |
| Atrain_ vs Zafina | 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.