| woClhaD vs Reina | 35–21 | 62.50% |
| woClhaD vs Lidia | 25–22 | 53.19% |
| woClhaD vs Law | 22–20 | 52.38% |
| woClhaD vs Kazuya | 29–12 | 70.73% |
| woClhaD vs King | 20–19 | 51.28% |
| woClhaD vs Hwoarang | 23–9 | 71.88% |
| woClhaD vs Bryan | 21–11 | 65.62% |
| woClhaD vs Jin | 17–12 | 58.62% |
| woClhaD vs Lili | 11–13 | 45.83% |
| woClhaD vs Feng | 16–6 | 72.73% |
| woClhaD vs Steve | 15–4 | 78.95% |
| woClhaD vs Lee | 10–7 | 58.82% |
| woClhaD vs Dragunov | 10–5 | 66.67% |
| woClhaD vs Jun | 4–11 | 26.67% |
| woClhaD vs Yoshimitsu | 5–9 | 35.71% |
| woClhaD vs Leo | 7–6 | 53.85% |
| woClhaD vs Azucena | 6–7 | 46.15% |
| woClhaD vs Nina | 6–5 | 54.55% |
| woClhaD vs Kuma | 7–3 | 70.00% |
| woClhaD vs Lars | 6–3 | 66.67% |
| woClhaD vs Leroy | 6–3 | 66.67% |
| woClhaD vs Paul | 3–5 | 37.50% |
| woClhaD vs Raven | 7–1 | 87.50% |
| woClhaD vs Eddy | 5–3 | 62.50% |
| woClhaD vs Asuka | 6–1 | 85.71% |
| woClhaD vs Shaheen | 7–0 | 100.00% |
| woClhaD vs Xiaoyu | 2–4 | 33.33% |
| woClhaD vs Victor | 5–1 | 83.33% |
| woClhaD vs Heihachi | 4–1 | 80.00% |
| woClhaD vs Jack-8 | 2–2 | 50.00% |
| woClhaD vs Devil Jin | 3–1 | 75.00% |
| woClhaD vs Alisa | 2–2 | 50.00% |
| woClhaD vs Armor King | 2–1 | 66.67% |
| woClhaD vs Clive | 2–0 | 100.00% |
| woClhaD vs Claudio | 1–0 | 100.00% |
| woClhaD vs Miary Zo | 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.