xErPiotta vs Kazuya | 38–31 | 55.07% |
xErPiotta vs Jin | 33–21 | 61.11% |
xErPiotta vs Reina | 20–22 | 47.62% |
xErPiotta vs King | 21–19 | 52.50% |
xErPiotta vs Steve | 26–11 | 70.27% |
xErPiotta vs Law | 25–6 | 80.65% |
xErPiotta vs Bryan | 12–19 | 38.71% |
xErPiotta vs Heihachi | 12–19 | 38.71% |
xErPiotta vs Hwoarang | 16–11 | 59.26% |
xErPiotta vs Asuka | 12–14 | 46.15% |
xErPiotta vs Dragunov | 16–9 | 64.00% |
xErPiotta vs Lili | 11–13 | 45.83% |
xErPiotta vs Paul | 10–12 | 45.45% |
xErPiotta vs Jun | 9–11 | 45.00% |
xErPiotta vs Devil Jin | 11–7 | 61.11% |
xErPiotta vs Alisa | 10–8 | 55.56% |
xErPiotta vs Leroy | 9–8 | 52.94% |
xErPiotta vs Yoshimitsu | 6–8 | 42.86% |
xErPiotta vs Claudio | 7–6 | 53.85% |
xErPiotta vs Lee | 8–5 | 61.54% |
xErPiotta vs Zafina | 3–10 | 23.08% |
xErPiotta vs Victor | 3–9 | 25.00% |
xErPiotta vs Eddy | 3–9 | 25.00% |
xErPiotta vs Jack-8 | 3–8 | 27.27% |
xErPiotta vs Leo | 4–7 | 36.36% |
xErPiotta vs Azucena | 8–3 | 72.73% |
xErPiotta vs Clive | 3–5 | 37.50% |
xErPiotta vs Feng | 3–4 | 42.86% |
xErPiotta vs Lars | 1–6 | 14.29% |
xErPiotta vs Lidia | 6–1 | 85.71% |
xErPiotta vs Xiaoyu | 2–4 | 33.33% |
xErPiotta vs Kuma | 3–3 | 50.00% |
xErPiotta vs Raven | 4–2 | 66.67% |
xErPiotta vs Shaheen | 0–4 | 0.00% |
xErPiotta vs Nina | 1–2 | 33.33% |
xErPiotta vs Panda | 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.