| Pramulya vs Jin | 34–41 | 45.33% |
| Pramulya vs Kazuya | 31–23 | 57.41% |
| Pramulya vs Heihachi | 15–31 | 32.61% |
| Pramulya vs Bryan | 15–23 | 39.47% |
| Pramulya vs Steve | 17–18 | 48.57% |
| Pramulya vs Reina | 13–21 | 38.24% |
| Pramulya vs Yoshimitsu | 23–10 | 69.70% |
| Pramulya vs Dragunov | 19–14 | 57.58% |
| Pramulya vs Lili | 16–13 | 55.17% |
| Pramulya vs Law | 14–13 | 51.85% |
| Pramulya vs King | 7–16 | 30.43% |
| Pramulya vs Hwoarang | 12–10 | 54.55% |
| Pramulya vs Raven | 10–8 | 55.56% |
| Pramulya vs Paul | 9–8 | 52.94% |
| Pramulya vs Asuka | 6–11 | 35.29% |
| Pramulya vs Devil Jin | 6–11 | 35.29% |
| Pramulya vs Victor | 10–7 | 58.82% |
| Pramulya vs Alisa | 8–8 | 50.00% |
| Pramulya vs Jun | 6–10 | 37.50% |
| Pramulya vs Lee | 5–9 | 35.71% |
| Pramulya vs Xiaoyu | 8–5 | 61.54% |
| Pramulya vs Lars | 6–7 | 46.15% |
| Pramulya vs Eddy | 2–11 | 15.38% |
| Pramulya vs Jack-8 | 6–6 | 50.00% |
| Pramulya vs Clive | 3–9 | 25.00% |
| Pramulya vs Nina | 5–5 | 50.00% |
| Pramulya vs Lidia | 7–3 | 70.00% |
| Pramulya vs Feng | 3–6 | 33.33% |
| Pramulya vs Claudio | 4–5 | 44.44% |
| Pramulya vs Azucena | 3–6 | 33.33% |
| Pramulya vs Leo | 3–5 | 37.50% |
| Pramulya vs Leroy | 0–5 | 0.00% |
| Pramulya vs Shaheen | 1–3 | 25.00% |
| Pramulya vs Kuma | 1–3 | 25.00% |
| Pramulya vs Panda | 2–2 | 50.00% |
| Pramulya vs Zafina | 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.