| Dablade vs Jin | 26–25 | 50.98% |
| Dablade vs Kazuya | 30–16 | 65.22% |
| Dablade vs Bryan | 23–21 | 52.27% |
| Dablade vs Lili | 24–12 | 66.67% |
| Dablade vs Reina | 22–12 | 64.71% |
| Dablade vs King | 25–8 | 75.76% |
| Dablade vs Hwoarang | 20–12 | 62.50% |
| Dablade vs Nina | 17–13 | 56.67% |
| Dablade vs Law | 19–8 | 70.37% |
| Dablade vs Dragunov | 13–12 | 52.00% |
| Dablade vs Paul | 14–7 | 66.67% |
| Dablade vs Feng | 11–10 | 52.38% |
| Dablade vs Heihachi | 14–7 | 66.67% |
| Dablade vs Yoshimitsu | 9–8 | 52.94% |
| Dablade vs Clive | 10–7 | 58.82% |
| Dablade vs Jun | 10–5 | 66.67% |
| Dablade vs Victor | 8–7 | 53.33% |
| Dablade vs Leo | 8–6 | 57.14% |
| Dablade vs Alisa | 8–6 | 57.14% |
| Dablade vs Eddy | 10–4 | 71.43% |
| Dablade vs Xiaoyu | 7–6 | 53.85% |
| Dablade vs Steve | 6–3 | 66.67% |
| Dablade vs Lars | 7–2 | 77.78% |
| Dablade vs Asuka | 4–3 | 57.14% |
| Dablade vs Claudio | 3–4 | 42.86% |
| Dablade vs Lee | 4–3 | 57.14% |
| Dablade vs Leroy | 6–1 | 85.71% |
| Dablade vs Jack-8 | 5–1 | 83.33% |
| Dablade vs Devil Jin | 5–1 | 83.33% |
| Dablade vs Lidia | 4–2 | 66.67% |
| Dablade vs Kuma | 2–1 | 66.67% |
| Dablade vs Panda | 1–2 | 33.33% |
| Dablade vs Azucena | 2–1 | 66.67% |
| Dablade vs Shaheen | 2–0 | 100.00% |
| Dablade vs Zafina | 1–1 | 50.00% |
| Dablade 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.