| dr2w_ vs King | 16–46 | 25.81% |
| dr2w_ vs Reina | 21–39 | 35.00% |
| dr2w_ vs Steve | 24–35 | 40.68% |
| dr2w_ vs Clive | 14–45 | 23.73% |
| dr2w_ vs Azucena | 12–34 | 26.09% |
| dr2w_ vs Heihachi | 15–23 | 39.47% |
| dr2w_ vs Jin | 12–23 | 34.29% |
| dr2w_ vs Dragunov | 11–23 | 32.35% |
| dr2w_ vs Victor | 14–16 | 46.67% |
| dr2w_ vs Yoshimitsu | 10–13 | 43.48% |
| dr2w_ vs Law | 2–20 | 9.09% |
| dr2w_ vs Kazuya | 9–13 | 40.91% |
| dr2w_ vs Devil Jin | 6–16 | 27.27% |
| dr2w_ vs Hwoarang | 8–13 | 38.10% |
| dr2w_ vs Asuka | 7–14 | 33.33% |
| dr2w_ vs Lili | 6–14 | 30.00% |
| dr2w_ vs Alisa | 2–16 | 11.11% |
| dr2w_ vs Nina | 6–11 | 35.29% |
| dr2w_ vs Eddy | 6–11 | 35.29% |
| dr2w_ vs Paul | 5–10 | 33.33% |
| dr2w_ vs Bryan | 2–13 | 13.33% |
| dr2w_ vs Lee | 1–14 | 6.67% |
| dr2w_ vs Lidia | 8–7 | 53.33% |
| dr2w_ vs Xiaoyu | 5–8 | 38.46% |
| dr2w_ vs Leo | 3–9 | 25.00% |
| dr2w_ vs Claudio | 1–10 | 9.09% |
| dr2w_ vs Feng | 2–7 | 22.22% |
| dr2w_ vs Kuma | 2–7 | 22.22% |
| dr2w_ vs Lars | 1–7 | 12.50% |
| dr2w_ vs Jack-8 | 3–2 | 60.00% |
| dr2w_ vs Shaheen | 1–4 | 20.00% |
| dr2w_ vs Jun | 1–4 | 20.00% |
| dr2w_ vs Zafina | 2–2 | 50.00% |
| dr2w_ vs Raven | 1–3 | 25.00% |
| dr2w_ vs Anna | 2–1 | 66.67% |
| dr2w_ vs Panda | 0–2 | 0.00% |
| dr2w_ vs Leroy | 0–2 | 0.00% |
| dr2w_ vs Miary Zo | 0–2 | 0.00% |
| dr2w_ 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.