| pytorch vs Dragunov | 3–4 | 42.86% |
| pytorch vs King | 6–0 | 100.00% |
| pytorch vs Nina | 3–3 | 50.00% |
| pytorch vs Lee | 2–4 | 33.33% |
| pytorch vs Law | 5–0 | 100.00% |
| pytorch vs Jin | 2–3 | 40.00% |
| pytorch vs Steve | 4–1 | 80.00% |
| pytorch vs Claudio | 2–1 | 66.67% |
| pytorch vs Heihachi | 1–2 | 33.33% |
| pytorch vs Yoshimitsu | 2–0 | 100.00% |
| pytorch vs Xiaoyu | 1–1 | 50.00% |
| pytorch vs Shaheen | 0–2 | 0.00% |
| pytorch vs Panda | 0–2 | 0.00% |
| pytorch vs Clive | 2–0 | 100.00% |
| pytorch vs Hwoarang | 1–0 | 100.00% |
| pytorch vs Lili | 0–1 | 0.00% |
| pytorch vs Leo | 1–0 | 100.00% |
| pytorch vs Leroy | 0–1 | 0.00% |
| pytorch vs Jun | 1–0 | 100.00% |
| pytorch vs Victor | 0–1 | 0.00% |
| pytorch vs Lidia | 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.