| Pimpchimp vs King | 81–80 | 50.31% |
| Pimpchimp vs Steve | 59–67 | 46.83% |
| Pimpchimp vs Jin | 66–58 | 53.23% |
| Pimpchimp vs Hwoarang | 44–70 | 38.60% |
| Pimpchimp vs Bryan | 58–55 | 51.33% |
| Pimpchimp vs Kazuya | 43–69 | 38.39% |
| Pimpchimp vs Reina | 50–52 | 49.02% |
| Pimpchimp vs Law | 42–51 | 45.16% |
| Pimpchimp vs Jun | 41–37 | 52.56% |
| Pimpchimp vs Lili | 33–42 | 44.00% |
| Pimpchimp vs Dragunov | 33–37 | 47.14% |
| Pimpchimp vs Paul | 32–32 | 50.00% |
| Pimpchimp vs Yoshimitsu | 30–30 | 50.00% |
| Pimpchimp vs Eddy | 29–29 | 50.00% |
| Pimpchimp vs Lidia | 26–32 | 44.83% |
| Pimpchimp vs Asuka | 26–24 | 52.00% |
| Pimpchimp vs Lee | 32–18 | 64.00% |
| Pimpchimp vs Heihachi | 23–24 | 48.94% |
| Pimpchimp vs Raven | 19–24 | 44.19% |
| Pimpchimp vs Feng | 26–16 | 61.90% |
| Pimpchimp vs Victor | 25–17 | 59.52% |
| Pimpchimp vs Alisa | 18–22 | 45.00% |
| Pimpchimp vs Nina | 19–21 | 47.50% |
| Pimpchimp vs Azucena | 23–17 | 57.50% |
| Pimpchimp vs Xiaoyu | 14–25 | 35.90% |
| Pimpchimp vs Lars | 17–22 | 43.59% |
| Pimpchimp vs Leroy | 15–18 | 45.45% |
| Pimpchimp vs Fahkumram | 10–23 | 30.30% |
| Pimpchimp vs Kuma | 12–18 | 40.00% |
| Pimpchimp vs Devil Jin | 12–15 | 44.44% |
| Pimpchimp vs Anna | 7–18 | 28.00% |
| Pimpchimp vs Leo | 8–16 | 33.33% |
| Pimpchimp vs Shaheen | 8–11 | 42.11% |
| Pimpchimp vs Jack-8 | 9–7 | 56.25% |
| Pimpchimp vs Clive | 9–7 | 56.25% |
| Pimpchimp vs Claudio | 6–5 | 54.55% |
| Pimpchimp vs Zafina | 3–7 | 30.00% |
| Pimpchimp vs Panda | 0–2 | 0.00% |
| Pimpchimp vs Armor King | 1–1 | 50.00% |
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.