| Pu_7ang_inaM0 vs Law | 35–48 | 42.17% |
| Pu_7ang_inaM0 vs Jin | 46–33 | 58.23% |
| Pu_7ang_inaM0 vs King | 32–40 | 44.44% |
| Pu_7ang_inaM0 vs Hwoarang | 21–45 | 31.82% |
| Pu_7ang_inaM0 vs Clive | 28–38 | 42.42% |
| Pu_7ang_inaM0 vs Kazuya | 32–32 | 50.00% |
| Pu_7ang_inaM0 vs Eddy | 26–32 | 44.83% |
| Pu_7ang_inaM0 vs Paul | 21–32 | 39.62% |
| Pu_7ang_inaM0 vs Bryan | 21–32 | 39.62% |
| Pu_7ang_inaM0 vs Steve | 26–21 | 55.32% |
| Pu_7ang_inaM0 vs Reina | 26–16 | 61.90% |
| Pu_7ang_inaM0 vs Yoshimitsu | 24–16 | 60.00% |
| Pu_7ang_inaM0 vs Lili | 29–10 | 74.36% |
| Pu_7ang_inaM0 vs Heihachi | 17–16 | 51.52% |
| Pu_7ang_inaM0 vs Jun | 17–15 | 53.12% |
| Pu_7ang_inaM0 vs Dragunov | 11–20 | 35.48% |
| Pu_7ang_inaM0 vs Xiaoyu | 15–14 | 51.72% |
| Pu_7ang_inaM0 vs Alisa | 11–13 | 45.83% |
| Pu_7ang_inaM0 vs Victor | 13–10 | 56.52% |
| Pu_7ang_inaM0 vs Feng | 6–16 | 27.27% |
| Pu_7ang_inaM0 vs Devil Jin | 6–15 | 28.57% |
| Pu_7ang_inaM0 vs Asuka | 9–11 | 45.00% |
| Pu_7ang_inaM0 vs Lidia | 10–9 | 52.63% |
| Pu_7ang_inaM0 vs Nina | 6–9 | 40.00% |
| Pu_7ang_inaM0 vs Azucena | 4–10 | 28.57% |
| Pu_7ang_inaM0 vs Leo | 8–5 | 61.54% |
| Pu_7ang_inaM0 vs Claudio | 7–6 | 53.85% |
| Pu_7ang_inaM0 vs Jack-8 | 4–7 | 36.36% |
| Pu_7ang_inaM0 vs Lee | 6–5 | 54.55% |
| Pu_7ang_inaM0 vs Kuma | 3–6 | 33.33% |
| Pu_7ang_inaM0 vs Lars | 0–8 | 0.00% |
| Pu_7ang_inaM0 vs Panda | 1–4 | 20.00% |
| Pu_7ang_inaM0 vs Leroy | 4–1 | 80.00% |
| Pu_7ang_inaM0 vs Shaheen | 0–2 | 0.00% |
| Pu_7ang_inaM0 vs Zafina | 1–1 | 50.00% |
| Pu_7ang_inaM0 vs Raven | 0–1 | 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.