| pijangg vs Jin | 47–54 | 46.53% |
| pijangg vs Kazuya | 24–44 | 35.29% |
| pijangg vs Steve | 34–32 | 51.52% |
| pijangg vs Dragunov | 21–29 | 42.00% |
| pijangg vs Heihachi | 22–26 | 45.83% |
| pijangg vs Reina | 17–30 | 36.17% |
| pijangg vs King | 27–19 | 58.70% |
| pijangg vs Clive | 20–25 | 44.44% |
| pijangg vs Asuka | 22–22 | 50.00% |
| pijangg vs Law | 19–24 | 44.19% |
| pijangg vs Hwoarang | 23–20 | 53.49% |
| pijangg vs Lili | 15–21 | 41.67% |
| pijangg vs Lee | 13–19 | 40.62% |
| pijangg vs Bryan | 8–22 | 26.67% |
| pijangg vs Lars | 14–11 | 56.00% |
| pijangg vs Yoshimitsu | 9–15 | 37.50% |
| pijangg vs Jun | 10–14 | 41.67% |
| pijangg vs Paul | 9–13 | 40.91% |
| pijangg vs Feng | 7–15 | 31.82% |
| pijangg vs Leo | 13–9 | 59.09% |
| pijangg vs Eddy | 7–14 | 33.33% |
| pijangg vs Alisa | 9–11 | 45.00% |
| pijangg vs Anna | 8–10 | 44.44% |
| pijangg vs Leroy | 5–12 | 29.41% |
| pijangg vs Victor | 9–8 | 52.94% |
| pijangg vs Lidia | 8–9 | 47.06% |
| pijangg vs Armor King | 6–11 | 35.29% |
| pijangg vs Devil Jin | 7–7 | 50.00% |
| pijangg vs Xiaoyu | 7–4 | 63.64% |
| pijangg vs Kuma | 4–7 | 36.36% |
| pijangg vs Fahkumram | 6–5 | 54.55% |
| pijangg vs Nina | 6–4 | 60.00% |
| pijangg vs Azucena | 5–5 | 50.00% |
| pijangg vs Zafina | 4–5 | 44.44% |
| pijangg vs Jack-8 | 5–3 | 62.50% |
| pijangg vs Claudio | 2–5 | 28.57% |
| pijangg vs Raven | 2–4 | 33.33% |
| pijangg vs Shaheen | 2–1 | 66.67% |
| pijangg vs Miary Zo | 2–0 | 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.