| pajama vs Reina | 17–14 | 54.84% |
| pajama vs Kazuya | 17–11 | 60.71% |
| pajama vs Lili | 16–8 | 66.67% |
| pajama vs King | 14–9 | 60.87% |
| pajama vs Jun | 14–6 | 70.00% |
| pajama vs Paul | 13–5 | 72.22% |
| pajama vs Steve | 12–6 | 66.67% |
| pajama vs Dragunov | 7–11 | 38.89% |
| pajama vs Bryan | 8–9 | 47.06% |
| pajama vs Claudio | 8–9 | 47.06% |
| pajama vs Azucena | 7–9 | 43.75% |
| pajama vs Jin | 11–4 | 73.33% |
| pajama vs Eddy | 8–7 | 53.33% |
| pajama vs Law | 10–4 | 71.43% |
| pajama vs Hwoarang | 7–7 | 50.00% |
| pajama vs Zafina | 8–6 | 57.14% |
| pajama vs Anna | 8–6 | 57.14% |
| pajama vs Xiaoyu | 9–4 | 69.23% |
| pajama vs Shaheen | 6–7 | 46.15% |
| pajama vs Leroy | 5–7 | 41.67% |
| pajama vs Victor | 6–6 | 50.00% |
| pajama vs Heihachi | 5–7 | 41.67% |
| pajama vs Asuka | 5–4 | 55.56% |
| pajama vs Nina | 7–2 | 77.78% |
| pajama vs Devil Jin | 6–2 | 75.00% |
| pajama vs Alisa | 3–5 | 37.50% |
| pajama vs Yoshimitsu | 3–4 | 42.86% |
| pajama vs Fahkumram | 2–5 | 28.57% |
| pajama vs Lidia | 3–3 | 50.00% |
| pajama vs Lars | 3–2 | 60.00% |
| pajama vs Lee | 5–0 | 100.00% |
| pajama vs Panda | 4–1 | 80.00% |
| pajama vs Armor King | 1–4 | 20.00% |
| pajama vs Leo | 0–4 | 0.00% |
| pajama vs Jack-8 | 2–1 | 66.67% |
| pajama vs Raven | 2–1 | 66.67% |
| pajama vs Clive | 2–1 | 66.67% |
| pajama 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.