| Pijjon vs Kazuya | 15–20 | 42.86% |
| Pijjon vs Anna | 14–18 | 43.75% |
| Pijjon vs Jin | 11–20 | 35.48% |
| Pijjon vs Law | 15–14 | 51.72% |
| Pijjon vs Steve | 12–12 | 50.00% |
| Pijjon vs Armor King | 12–12 | 50.00% |
| Pijjon vs King | 8–12 | 40.00% |
| Pijjon vs Hwoarang | 8–10 | 44.44% |
| Pijjon vs Fahkumram | 7–10 | 41.18% |
| Pijjon vs Lidia | 10–5 | 66.67% |
| Pijjon vs Bryan | 5–9 | 35.71% |
| Pijjon vs Lee | 7–7 | 50.00% |
| Pijjon vs Reina | 4–10 | 28.57% |
| Pijjon vs Yoshimitsu | 4–9 | 30.77% |
| Pijjon vs Asuka | 7–6 | 53.85% |
| Pijjon vs Nina | 5–8 | 38.46% |
| Pijjon vs Azucena | 8–5 | 61.54% |
| Pijjon vs Lili | 6–6 | 50.00% |
| Pijjon vs Jun | 2–10 | 16.67% |
| Pijjon vs Lars | 4–7 | 36.36% |
| Pijjon vs Heihachi | 8–3 | 72.73% |
| Pijjon vs Devil Jin | 2–8 | 20.00% |
| Pijjon vs Xiaoyu | 4–5 | 44.44% |
| Pijjon vs Leo | 5–4 | 55.56% |
| Pijjon vs Paul | 1–7 | 12.50% |
| Pijjon vs Jack-8 | 2–6 | 25.00% |
| Pijjon vs Dragunov | 3–5 | 37.50% |
| Pijjon vs Alisa | 1–7 | 12.50% |
| Pijjon vs Victor | 3–3 | 50.00% |
| Pijjon vs Kuma | 4–1 | 80.00% |
| Pijjon vs Clive | 2–3 | 40.00% |
| Pijjon vs Zafina | 3–1 | 75.00% |
| Pijjon vs Eddy | 0–4 | 0.00% |
| Pijjon vs Feng | 3–0 | 100.00% |
| Pijjon vs Shaheen | 1–2 | 33.33% |
| Pijjon vs Leroy | 0–3 | 0.00% |
| Pijjon vs Claudio | 2–0 | 100.00% |
| Pijjon vs Miary Zo | 1–0 | 100.00% |
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.