| qdbdbp vs Hwoarang | 21–14 | 60.00% |
| qdbdbp vs Dragunov | 17–14 | 54.84% |
| qdbdbp vs Victor | 18–12 | 60.00% |
| qdbdbp vs Reina | 22–7 | 75.86% |
| qdbdbp vs King | 14–11 | 56.00% |
| qdbdbp vs Lars | 13–12 | 52.00% |
| qdbdbp vs Yoshimitsu | 14–10 | 58.33% |
| qdbdbp vs Paul | 19–4 | 82.61% |
| qdbdbp vs Kazuya | 11–12 | 47.83% |
| qdbdbp vs Steve | 12–11 | 52.17% |
| qdbdbp vs Azucena | 10–10 | 50.00% |
| qdbdbp vs Feng | 9–10 | 47.37% |
| qdbdbp vs Lee | 10–8 | 55.56% |
| qdbdbp vs Bryan | 5–12 | 29.41% |
| qdbdbp vs Lili | 11–6 | 64.71% |
| qdbdbp vs Jin | 6–10 | 37.50% |
| qdbdbp vs Jack-8 | 5–11 | 31.25% |
| qdbdbp vs Leroy | 10–5 | 66.67% |
| qdbdbp vs Jun | 11–4 | 73.33% |
| qdbdbp vs Asuka | 7–7 | 50.00% |
| qdbdbp vs Devil Jin | 6–8 | 42.86% |
| qdbdbp vs Xiaoyu | 3–10 | 23.08% |
| qdbdbp vs Law | 6–6 | 50.00% |
| qdbdbp vs Nina | 7–4 | 63.64% |
| qdbdbp vs Kuma | 2–7 | 22.22% |
| qdbdbp vs Leo | 1–6 | 14.29% |
| qdbdbp vs Alisa | 4–3 | 57.14% |
| qdbdbp vs Claudio | 3–4 | 42.86% |
| qdbdbp vs Zafina | 1–5 | 16.67% |
| qdbdbp vs Heihachi | 4–2 | 66.67% |
| qdbdbp vs Clive | 4–2 | 66.67% |
| qdbdbp vs Shaheen | 2–2 | 50.00% |
| qdbdbp vs Anna | 1–2 | 33.33% |
| qdbdbp vs Raven | 0–2 | 0.00% |
| qdbdbp vs Armor King | 1–1 | 50.00% |
| qdbdbp vs Eddy | 0–1 | 0.00% |
| qdbdbp vs Fahkumram | 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.