| pica1 vs King | 28–18 | 60.87% |
| pica1 vs Dragunov | 20–23 | 46.51% |
| pica1 vs Clive | 18–25 | 41.86% |
| pica1 vs Hwoarang | 26–14 | 65.00% |
| pica1 vs Lili | 19–21 | 47.50% |
| pica1 vs Paul | 23–15 | 60.53% |
| pica1 vs Kazuya | 19–17 | 52.78% |
| pica1 vs Reina | 18–14–1 | 56.25% |
| pica1 vs Steve | 18–13 | 58.06% |
| pica1 vs Yoshimitsu | 18–12 | 60.00% |
| pica1 vs Jin | 12–16 | 42.86% |
| pica1 vs Asuka | 15–13 | 53.57% |
| pica1 vs Bryan | 11–16 | 40.74% |
| pica1 vs Azucena | 11–11 | 50.00% |
| pica1 vs Heihachi | 9–13 | 40.91% |
| pica1 vs Alisa | 8–13 | 38.10% |
| pica1 vs Claudio | 15–6 | 71.43% |
| pica1 vs Jun | 9–10 | 47.37% |
| pica1 vs Leo | 7–9 | 43.75% |
| pica1 vs Victor | 12–4 | 75.00% |
| pica1 vs Law | 8–7 | 53.33% |
| pica1 vs Xiaoyu | 5–9 | 35.71% |
| pica1 vs Feng | 5–8 | 38.46% |
| pica1 vs Lee | 8–4 | 66.67% |
| pica1 vs Kuma | 1–10 | 9.09% |
| pica1 vs Devil Jin | 4–6 | 40.00% |
| pica1 vs Lars | 7–3 | 70.00% |
| pica1 vs Nina | 3–6 | 33.33% |
| pica1 vs Lidia | 3–6 | 33.33% |
| pica1 vs Leroy | 4–3 | 57.14% |
| pica1 vs Jack-8 | 2–4 | 33.33% |
| pica1 vs Shaheen | 2–4 | 33.33% |
| pica1 vs Zafina | 3–2 | 60.00% |
| pica1 vs Raven | 3–2 | 60.00% |
| pica1 vs Eddy | 2–2 | 50.00% |
| pica1 vs Panda | 1–2 | 33.33% |
| pica1 vs Anna | 2–1 | 66.67% |
| pica1 vs Fahkumram | 0–3 | 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.