| Paslappu vs Jin | 44–54–1 | 44.90% |
| Paslappu vs Dragunov | 32–30 | 51.61% |
| Paslappu vs Clive | 37–25 | 59.68% |
| Paslappu vs Kazuya | 29–31 | 48.33% |
| Paslappu vs Reina | 31–18 | 63.27% |
| Paslappu vs King | 21–26 | 44.68% |
| Paslappu vs Law | 12–26 | 31.58% |
| Paslappu vs Hwoarang | 13–22 | 37.14% |
| Paslappu vs Steve | 16–16 | 50.00% |
| Paslappu vs Victor | 15–16 | 48.39% |
| Paslappu vs Lili | 14–12 | 53.85% |
| Paslappu vs Jun | 17–8 | 68.00% |
| Paslappu vs Bryan | 11–10 | 52.38% |
| Paslappu vs Asuka | 9–12 | 42.86% |
| Paslappu vs Devil Jin | 8–10 | 44.44% |
| Paslappu vs Lee | 7–11 | 38.89% |
| Paslappu vs Yoshimitsu | 10–7 | 58.82% |
| Paslappu vs Heihachi | 8–9 | 47.06% |
| Paslappu vs Lars | 4–12 | 25.00% |
| Paslappu vs Azucena | 4–12 | 25.00% |
| Paslappu vs Paul | 10–4 | 71.43% |
| Paslappu vs Xiaoyu | 6–8 | 42.86% |
| Paslappu vs Alisa | 6–7 | 46.15% |
| Paslappu vs Shaheen | 4–9 | 30.77% |
| Paslappu vs Eddy | 2–10 | 16.67% |
| Paslappu vs Feng | 5–6 | 45.45% |
| Paslappu vs Nina | 8–3 | 72.73% |
| Paslappu vs Jack-8 | 2–7 | 22.22% |
| Paslappu vs Leroy | 2–7 | 22.22% |
| Paslappu vs Leo | 4–4 | 50.00% |
| Paslappu vs Kuma | 3–5 | 37.50% |
| Paslappu vs Claudio | 4–3 | 57.14% |
| Paslappu vs Lidia | 0–4 | 0.00% |
| Paslappu vs Raven | 0–3 | 0.00% |
| Paslappu vs Panda | 0–2 | 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.