| Pitacoche vs Reina | 2–7 | 22.22% |
| Pitacoche vs Lars | 2–6 | 25.00% |
| Pitacoche vs Lili | 1–6 | 14.29% |
| Pitacoche vs King | 0–6 | 0.00% |
| Pitacoche vs Kuma | 3–3 | 50.00% |
| Pitacoche vs Jin | 2–3 | 40.00% |
| Pitacoche vs Eddy | 1–4 | 20.00% |
| Pitacoche vs Paul | 0–4 | 0.00% |
| Pitacoche vs Kazuya | 2–2 | 50.00% |
| Pitacoche vs Xiaoyu | 2–1 | 66.67% |
| Pitacoche vs Feng | 1–2 | 33.33% |
| Pitacoche vs Dragunov | 1–2 | 33.33% |
| Pitacoche vs Law | 0–2 | 0.00% |
| Pitacoche vs Yoshimitsu | 1–1 | 50.00% |
| Pitacoche vs Hwoarang | 0–2 | 0.00% |
| Pitacoche vs Steve | 2–0 | 100.00% |
| Pitacoche vs Asuka | 0–2 | 0.00% |
| Pitacoche vs Leo | 2–0 | 100.00% |
| Pitacoche vs Alisa | 0–2 | 0.00% |
| Pitacoche vs Shaheen | 0–2 | 0.00% |
| Pitacoche vs Leroy | 0–2 | 0.00% |
| Pitacoche vs Jun | 0–2 | 0.00% |
| Pitacoche vs Victor | 0–1 | 0.00% |
| Pitacoche vs Raven | 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.