CasualDoja vs Jin | 44–21 | 67.69% |
CasualDoja vs Kazuya | 35–17 | 67.31% |
CasualDoja vs Law | 37–12 | 75.51% |
CasualDoja vs Reina | 32–10 | 76.19% |
CasualDoja vs Jun | 23–9 | 71.88% |
CasualDoja vs Heihachi | 12–20 | 37.50% |
CasualDoja vs King | 10–21 | 32.26% |
CasualDoja vs Hwoarang | 20–11 | 64.52% |
CasualDoja vs Victor | 19–8 | 70.37% |
CasualDoja vs Bryan | 18–7 | 72.00% |
CasualDoja vs Lili | 14–8 | 63.64% |
CasualDoja vs Nina | 15–7 | 68.18% |
CasualDoja vs Eddy | 11–9 | 55.00% |
CasualDoja vs Paul | 13–5 | 72.22% |
CasualDoja vs Asuka | 13–5 | 72.22% |
CasualDoja vs Yoshimitsu | 10–7 | 58.82% |
CasualDoja vs Steve | 10–6 | 62.50% |
CasualDoja vs Alisa | 12–3 | 80.00% |
CasualDoja vs Clive | 10–5 | 66.67% |
CasualDoja vs Devil Jin | 11–3 | 78.57% |
CasualDoja vs Claudio | 10–4 | 71.43% |
CasualDoja vs Dragunov | 9–4 | 69.23% |
CasualDoja vs Lidia | 11–2 | 84.62% |
CasualDoja vs Lars | 7–3 | 70.00% |
CasualDoja vs Kuma | 8–2 | 80.00% |
CasualDoja vs Azucena | 3–6 | 33.33% |
CasualDoja vs Raven | 6–3 | 66.67% |
CasualDoja vs Xiaoyu | 3–5 | 37.50% |
CasualDoja vs Leroy | 3–4 | 42.86% |
CasualDoja vs Leo | 5–1 | 83.33% |
CasualDoja vs Feng | 3–2 | 60.00% |
CasualDoja vs Shaheen | 2–3 | 40.00% |
CasualDoja vs Lee | 2–3 | 40.00% |
CasualDoja vs Jack-8 | 3–1 | 75.00% |
CasualDoja vs Zafina | 3–0 | 100.00% |
CasualDoja vs Panda | 0–2 | 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.