| PulpPigeon vs King | 50–79 | 38.76% |
| PulpPigeon vs Kazuya | 50–64 | 43.86% |
| PulpPigeon vs Reina | 57–57 | 50.00% |
| PulpPigeon vs Law | 48–64 | 42.86% |
| PulpPigeon vs Jin | 37–64 | 36.63% |
| PulpPigeon vs Hwoarang | 37–61 | 37.76% |
| PulpPigeon vs Bryan | 44–54 | 44.90% |
| PulpPigeon vs Eddy | 39–41 | 48.75% |
| PulpPigeon vs Lars | 27–36 | 42.86% |
| PulpPigeon vs Heihachi | 28–34 | 45.16% |
| PulpPigeon vs Dragunov | 21–33 | 38.89% |
| PulpPigeon vs Azucena | 22–32 | 40.74% |
| PulpPigeon vs Asuka | 26–25 | 50.98% |
| PulpPigeon vs Steve | 22–27 | 44.90% |
| PulpPigeon vs Jun | 25–24 | 51.02% |
| PulpPigeon vs Paul | 19–27 | 41.30% |
| PulpPigeon vs Xiaoyu | 24–21 | 53.33% |
| PulpPigeon vs Victor | 19–22 | 46.34% |
| PulpPigeon vs Raven | 17–21 | 44.74% |
| PulpPigeon vs Leo | 16–21 | 43.24% |
| PulpPigeon vs Lili | 13–23 | 36.11% |
| PulpPigeon vs Nina | 14–22 | 38.89% |
| PulpPigeon vs Yoshimitsu | 18–17 | 51.43% |
| PulpPigeon vs Jack-8 | 13–18 | 41.94% |
| PulpPigeon vs Lee | 15–16 | 48.39% |
| PulpPigeon vs Lidia | 15–14 | 51.72% |
| PulpPigeon vs Feng | 8–19 | 29.63% |
| PulpPigeon vs Alisa | 12–15 | 44.44% |
| PulpPigeon vs Devil Jin | 4–20 | 16.67% |
| PulpPigeon vs Claudio | 13–8 | 61.90% |
| PulpPigeon vs Clive | 8–11 | 42.11% |
| PulpPigeon vs Leroy | 9–9 | 50.00% |
| PulpPigeon vs Kuma | 8–9 | 47.06% |
| PulpPigeon vs Anna | 9–7 | 56.25% |
| PulpPigeon vs Shaheen | 5–6 | 45.45% |
| PulpPigeon vs Fahkumram | 1–8 | 11.11% |
| PulpPigeon vs Panda | 2–4 | 33.33% |
| PulpPigeon vs Zafina | 1–5 | 16.67% |
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.