| Pimp vs Kazuya | 21–35 | 37.50% |
| Pimp vs Jin | 19–26 | 42.22% |
| Pimp vs Paul | 16–27 | 37.21% |
| Pimp vs Reina | 26–16 | 61.90% |
| Pimp vs Steve | 14–16 | 46.67% |
| Pimp vs King | 15–14 | 51.72% |
| Pimp vs Asuka | 12–17 | 41.38% |
| Pimp vs Dragunov | 13–16 | 44.83% |
| Pimp vs Hwoarang | 7–17 | 29.17% |
| Pimp vs Lili | 10–14 | 41.67% |
| Pimp vs Devil Jin | 11–11 | 50.00% |
| Pimp vs Azucena | 3–18 | 14.29% |
| Pimp vs Bryan | 7–13 | 35.00% |
| Pimp vs Victor | 1–19 | 5.00% |
| Pimp vs Law | 5–14 | 26.32% |
| Pimp vs Yoshimitsu | 2–14 | 12.50% |
| Pimp vs Jack-8 | 5–10 | 33.33% |
| Pimp vs Claudio | 4–11 | 26.67% |
| Pimp vs Leroy | 4–11 | 26.67% |
| Pimp vs Jun | 4–11 | 26.67% |
| Pimp vs Eddy | 2–12 | 14.29% |
| Pimp vs Lars | 3–8 | 27.27% |
| Pimp vs Xiaoyu | 4–6 | 40.00% |
| Pimp vs Alisa | 1–8 | 11.11% |
| Pimp vs Feng | 1–7 | 12.50% |
| Pimp vs Nina | 4–4 | 50.00% |
| Pimp vs Lidia | 6–2 | 75.00% |
| Pimp vs Heihachi | 4–3 | 57.14% |
| Pimp vs Clive | 4–2 | 66.67% |
| Pimp vs Kuma | 0–5 | 0.00% |
| Pimp vs Panda | 3–2 | 60.00% |
| Pimp vs Leo | 1–3 | 25.00% |
| Pimp vs Lee | 0–4 | 0.00% |
| Pimp vs Raven | 1–3 | 25.00% |
| Pimp vs Fahkumram | 0–4 | 0.00% |
| Pimp vs Shaheen | 1–2 | 33.33% |
| Pimp vs Armor King | 1–2 | 33.33% |
| Pimp vs Anna | 0–1 | 0.00% |
| Pimp vs Miary Zo | 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.