| bk_py vs Jin | 30–55 | 35.29% |
| bk_py vs King | 39–33 | 54.17% |
| bk_py vs Kazuya | 27–36 | 42.86% |
| bk_py vs Steve | 28–30 | 48.28% |
| bk_py vs Law | 12–33 | 26.67% |
| bk_py vs Hwoarang | 12–31 | 27.91% |
| bk_py vs Dragunov | 19–24 | 44.19% |
| bk_py vs Victor | 10–21 | 32.26% |
| bk_py vs Yoshimitsu | 11–18 | 37.93% |
| bk_py vs Reina | 17–11 | 60.71% |
| bk_py vs Heihachi | 13–14 | 48.15% |
| bk_py vs Lili | 13–12 | 52.00% |
| bk_py vs Devil Jin | 8–14 | 36.36% |
| bk_py vs Nina | 8–14 | 36.36% |
| bk_py vs Asuka | 10–11 | 47.62% |
| bk_py vs Jun | 4–13 | 23.53% |
| bk_py vs Bryan | 4–12 | 25.00% |
| bk_py vs Lee | 7–9 | 43.75% |
| bk_py vs Azucena | 10–4–1 | 71.43% |
| bk_py vs Paul | 3–11 | 21.43% |
| bk_py vs Eddy | 5–8 | 38.46% |
| bk_py vs Xiaoyu | 9–2 | 81.82% |
| bk_py vs Zafina | 5–5 | 50.00% |
| bk_py vs Lars | 2–5 | 28.57% |
| bk_py vs Alisa | 2–5 | 28.57% |
| bk_py vs Armor King | 3–4 | 42.86% |
| bk_py vs Feng | 2–4 | 33.33% |
| bk_py vs Leo | 0–6 | 0.00% |
| bk_py vs Claudio | 3–3 | 50.00% |
| bk_py vs Lidia | 5–1 | 83.33% |
| bk_py vs Anna | 1–5 | 16.67% |
| bk_py vs Raven | 2–2 | 50.00% |
| bk_py vs Kuma | 1–2 | 33.33% |
| bk_py vs Clive | 0–2 | 0.00% |
| bk_py vs Miary Zo | 1–1 | 50.00% |
| bk_py vs Jack-8 | 0–1 | 0.00% |
| bk_py vs Shaheen | 1–0 | 100.00% |
| bk_py vs Panda | 0–1 | 0.00% |
| bk_py vs Leroy | 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.