| D4nk_d4ddy vs King | 24–67 | 26.37% |
| D4nk_d4ddy vs Jin | 21–51 | 29.17% |
| D4nk_d4ddy vs Kazuya | 22–48 | 31.43% |
| D4nk_d4ddy vs Reina | 18–49 | 26.87% |
| D4nk_d4ddy vs Steve | 27–38 | 41.54% |
| D4nk_d4ddy vs Hwoarang | 18–33 | 35.29% |
| D4nk_d4ddy vs Law | 13–36 | 26.53% |
| D4nk_d4ddy vs Bryan | 16–27 | 37.21% |
| D4nk_d4ddy vs Dragunov | 10–33 | 23.26% |
| D4nk_d4ddy vs Eddy | 12–28 | 30.00% |
| D4nk_d4ddy vs Azucena | 16–23 | 41.03% |
| D4nk_d4ddy vs Lars | 15–23 | 39.47% |
| D4nk_d4ddy vs Lee | 13–23 | 36.11% |
| D4nk_d4ddy vs Victor | 9–25 | 26.47% |
| D4nk_d4ddy vs Asuka | 16–16 | 50.00% |
| D4nk_d4ddy vs Jun | 16–16 | 50.00% |
| D4nk_d4ddy vs Lili | 13–17 | 43.33% |
| D4nk_d4ddy vs Paul | 12–11 | 52.17% |
| D4nk_d4ddy vs Lidia | 4–18 | 18.18% |
| D4nk_d4ddy vs Devil Jin | 7–14 | 33.33% |
| D4nk_d4ddy vs Yoshimitsu | 7–10 | 41.18% |
| D4nk_d4ddy vs Nina | 10–7 | 58.82% |
| D4nk_d4ddy vs Leo | 8–8 | 50.00% |
| D4nk_d4ddy vs Xiaoyu | 5–9 | 35.71% |
| D4nk_d4ddy vs Alisa | 5–8 | 38.46% |
| D4nk_d4ddy vs Jack-8 | 5–7 | 41.67% |
| D4nk_d4ddy vs Claudio | 4–8 | 33.33% |
| D4nk_d4ddy vs Raven | 6–6 | 50.00% |
| D4nk_d4ddy vs Shaheen | 4–7 | 36.36% |
| D4nk_d4ddy vs Feng | 2–6 | 25.00% |
| D4nk_d4ddy vs Kuma | 1–7 | 12.50% |
| D4nk_d4ddy vs Leroy | 4–4 | 50.00% |
| D4nk_d4ddy vs Zafina | 1–6 | 14.29% |
| D4nk_d4ddy vs Panda | 0–3 | 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.