| DalPal vs Azucena | 0–8 | 0.00% |
| DalPal vs Dragunov | 1–4 | 20.00% |
| DalPal vs Steve | 1–3 | 25.00% |
| DalPal vs Lidia | 2–2 | 50.00% |
| DalPal vs Eddy | 2–2 | 50.00% |
| DalPal vs Jin | 1–2 | 33.33% |
| DalPal vs King | 1–2 | 33.33% |
| DalPal vs Alisa | 0–3 | 0.00% |
| DalPal vs Reina | 1–2 | 33.33% |
| DalPal vs Hwoarang | 2–0 | 100.00% |
| DalPal vs Asuka | 1–1 | 50.00% |
| DalPal vs Yoshimitsu | 2–0 | 100.00% |
| DalPal vs Bryan | 0–2 | 0.00% |
| DalPal vs Claudio | 0–2 | 0.00% |
| DalPal vs Jun | 0–2 | 0.00% |
| DalPal vs Feng | 0–1 | 0.00% |
| DalPal vs Raven | 0–1 | 0.00% |
| DalPal vs Kazuya | 0–1 | 0.00% |
| DalPal vs Lili | 0–1 | 0.00% |
| DalPal vs Leroy | 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.