| doa_ vs Kazuya | 54–11 | 83.08% |
| doa_ vs Heihachi | 30–9 | 76.92% |
| doa_ vs King | 28–10 | 73.68% |
| doa_ vs Jin | 30–6 | 83.33% |
| doa_ vs Reina | 20–6 | 76.92% |
| doa_ vs Paul | 15–7 | 68.18% |
| doa_ vs Yoshimitsu | 20–2 | 90.91% |
| doa_ vs Bryan | 21–0 | 100.00% |
| doa_ vs Azucena | 19–2 | 90.48% |
| doa_ vs Steve | 19–1 | 95.00% |
| doa_ vs Hwoarang | 17–2 | 89.47% |
| doa_ vs Asuka | 14–4 | 77.78% |
| doa_ vs Lili | 15–2 | 88.24% |
| doa_ vs Law | 10–5 | 66.67% |
| doa_ vs Devil Jin | 8–5 | 61.54% |
| doa_ vs Claudio | 10–3 | 76.92% |
| doa_ vs Miary Zo | 8–5 | 61.54% |
| doa_ vs Dragunov | 9–3 | 75.00% |
| doa_ vs Lee | 12–0 | 100.00% |
| doa_ vs Jun | 11–1 | 91.67% |
| doa_ vs Zafina | 7–4 | 63.64% |
| doa_ vs Eddy | 8–3 | 72.73% |
| doa_ vs Victor | 9–1 | 90.00% |
| doa_ vs Alisa | 7–1 | 87.50% |
| doa_ vs Shaheen | 7–0 | 100.00% |
| doa_ vs Lidia | 7–0 | 100.00% |
| doa_ vs Anna | 4–3 | 57.14% |
| doa_ vs Fahkumram | 5–2 | 71.43% |
| doa_ vs Armor King | 4–3 | 57.14% |
| doa_ vs Jack-8 | 6–0 | 100.00% |
| doa_ vs Feng | 5–1 | 83.33% |
| doa_ vs Nina | 6–0 | 100.00% |
| doa_ vs Raven | 6–0 | 100.00% |
| doa_ vs Clive | 4–2 | 66.67% |
| doa_ vs Lars | 3–2 | 60.00% |
| doa_ vs Leo | 3–1 | 75.00% |
| doa_ vs Leroy | 4–0 | 100.00% |
| doa_ vs Xiaoyu | 2–1 | 66.67% |
| doa_ vs Panda | 1–1 | 50.00% |
| doa_ vs Kuma | 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.