| Pimpy Smacks vs Reina | 13–13 | 50.00% |
| Pimpy Smacks vs Steve | 15–9 | 62.50% |
| Pimpy Smacks vs King | 18–5 | 78.26% |
| Pimpy Smacks vs Dragunov | 11–11 | 50.00% |
| Pimpy Smacks vs Lidia | 4–11 | 26.67% |
| Pimpy Smacks vs Lili | 11–3 | 78.57% |
| Pimpy Smacks vs Hwoarang | 4–9 | 30.77% |
| Pimpy Smacks vs Xiaoyu | 6–7 | 46.15% |
| Pimpy Smacks vs Alisa | 5–5 | 50.00% |
| Pimpy Smacks vs Lee | 6–4 | 60.00% |
| Pimpy Smacks vs Jun | 5–5 | 50.00% |
| Pimpy Smacks vs Azucena | 4–6 | 40.00% |
| Pimpy Smacks vs Paul | 5–4 | 55.56% |
| Pimpy Smacks vs Bryan | 5–4 | 55.56% |
| Pimpy Smacks vs Lars | 5–4 | 55.56% |
| Pimpy Smacks vs Zafina | 2–6 | 25.00% |
| Pimpy Smacks vs Jin | 3–4 | 42.86% |
| Pimpy Smacks vs Devil Jin | 2–5 | 28.57% |
| Pimpy Smacks vs Nina | 5–2 | 71.43% |
| Pimpy Smacks vs Law | 0–6 | 0.00% |
| Pimpy Smacks vs Kazuya | 3–3 | 50.00% |
| Pimpy Smacks vs Claudio | 5–1 | 83.33% |
| Pimpy Smacks vs Heihachi | 1–4 | 20.00% |
| Pimpy Smacks vs Clive | 2–3 | 40.00% |
| Pimpy Smacks vs Leo | 4–0 | 100.00% |
| Pimpy Smacks vs Panda | 4–0 | 100.00% |
| Pimpy Smacks vs Leroy | 1–3 | 25.00% |
| Pimpy Smacks vs Jack-8 | 1–2 | 33.33% |
| Pimpy Smacks vs Asuka | 0–3 | 0.00% |
| Pimpy Smacks vs Victor | 2–0 | 100.00% |
| Pimpy Smacks vs Yoshimitsu | 0–1 | 0.00% |
| Pimpy Smacks vs Feng | 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.