| D_el_D vs King | 16–14 | 53.33% |
| D_el_D vs Hwoarang | 14–14 | 50.00% |
| D_el_D vs Law | 17–9 | 65.38% |
| D_el_D vs Kazuya | 12–14 | 46.15% |
| D_el_D vs Jin | 14–9 | 60.87% |
| D_el_D vs Reina | 19–4 | 82.61% |
| D_el_D vs Bryan | 9–13 | 40.91% |
| D_el_D vs Fahkumram | 10–11 | 47.62% |
| D_el_D vs Steve | 11–9 | 55.00% |
| D_el_D vs Asuka | 6–14 | 30.00% |
| D_el_D vs Azucena | 14–4 | 77.78% |
| D_el_D vs Eddy | 9–9 | 50.00% |
| D_el_D vs Clive | 11–5 | 68.75% |
| D_el_D vs Yoshimitsu | 9–5 | 64.29% |
| D_el_D vs Dragunov | 8–6 | 57.14% |
| D_el_D vs Victor | 7–7 | 50.00% |
| D_el_D vs Anna | 6–7 | 46.15% |
| D_el_D vs Miary Zo | 5–7 | 41.67% |
| D_el_D vs Leo | 5–6 | 45.45% |
| D_el_D vs Armor King | 2–8 | 20.00% |
| D_el_D vs Lars | 2–6 | 25.00% |
| D_el_D vs Zafina | 4–4 | 50.00% |
| D_el_D vs Lili | 4–3 | 57.14% |
| D_el_D vs Nina | 3–3 | 50.00% |
| D_el_D vs Shaheen | 1–4 | 20.00% |
| D_el_D vs Jun | 4–1 | 80.00% |
| D_el_D vs Lidia | 2–3 | 40.00% |
| D_el_D vs Heihachi | 4–1 | 80.00% |
| D_el_D vs Paul | 2–2 | 50.00% |
| D_el_D vs Jack-8 | 0–4 | 0.00% |
| D_el_D vs Feng | 2–2 | 50.00% |
| D_el_D vs Leroy | 2–2 | 50.00% |
| D_el_D vs Devil Jin | 1–2 | 33.33% |
| D_el_D vs Raven | 3–0 | 100.00% |
| D_el_D vs Xiaoyu | 2–0 | 100.00% |
| D_el_D vs Claudio | 2–0 | 100.00% |
| D_el_D vs Lee | 2–0 | 100.00% |
| D_el_D vs Kuma | 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.