afterparty vs Hwoarang | 19–19 | 50.00% |
afterparty vs King | 15–21 | 41.67% |
afterparty vs Kazuya | 22–6 | 78.57% |
afterparty vs Reina | 16–11 | 59.26% |
afterparty vs Jin | 14–12 | 53.85% |
afterparty vs Steve | 15–10 | 60.00% |
afterparty vs Asuka | 14–10 | 58.33% |
afterparty vs Dragunov | 15–7 | 68.18% |
afterparty vs Jun | 16–5 | 76.19% |
afterparty vs Heihachi | 15–6 | 71.43% |
afterparty vs Law | 13–7 | 65.00% |
afterparty vs Yoshimitsu | 9–11 | 45.00% |
afterparty vs Bryan | 10–9 | 52.63% |
afterparty vs Alisa | 16–3 | 84.21% |
afterparty vs Victor | 10–8 | 55.56% |
afterparty vs Nina | 14–3 | 82.35% |
afterparty vs Eddy | 10–6 | 62.50% |
afterparty vs Lili | 9–6 | 60.00% |
afterparty vs Lars | 4–11 | 26.67% |
afterparty vs Raven | 9–3 | 75.00% |
afterparty vs Paul | 4–7 | 36.36% |
afterparty vs Devil Jin | 4–6 | 40.00% |
afterparty vs Zafina | 8–2 | 80.00% |
afterparty vs Jack-8 | 4–4 | 50.00% |
afterparty vs Leo | 8–0 | 100.00% |
afterparty vs Azucena | 5–3 | 62.50% |
afterparty vs Lidia | 4–4 | 50.00% |
afterparty vs Lee | 3–4 | 42.86% |
afterparty vs Feng | 5–1 | 83.33% |
afterparty vs Kuma | 3–3 | 50.00% |
afterparty vs Xiaoyu | 5–0 | 100.00% |
afterparty vs Claudio | 2–1 | 66.67% |
afterparty vs Clive | 2–1 | 66.67% |
afterparty vs Shaheen | 2–0 | 100.00% |
afterparty vs Panda | 2–0 | 100.00% |
afterparty vs Leroy | 2–0 | 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.