dnwls6292 vs Reina | 37–23 | 61.67% |
dnwls6292 vs Paul | 37–18 | 67.27% |
dnwls6292 vs Dragunov | 21–26 | 44.68% |
dnwls6292 vs Kazuya | 33–11 | 75.00% |
dnwls6292 vs King | 15–17 | 46.88% |
dnwls6292 vs Hwoarang | 24–8 | 75.00% |
dnwls6292 vs Jin | 10–22 | 31.25% |
dnwls6292 vs Law | 10–21 | 32.26% |
dnwls6292 vs Victor | 12–17 | 41.38% |
dnwls6292 vs Devil Jin | 15–11 | 57.69% |
dnwls6292 vs Lili | 17–9 | 65.38% |
dnwls6292 vs Yoshimitsu | 7–15–1 | 31.82% |
dnwls6292 vs Feng | 11–12 | 47.83% |
dnwls6292 vs Alisa | 9–13 | 40.91% |
dnwls6292 vs Steve | 12–8 | 60.00% |
dnwls6292 vs Asuka | 8–11 | 42.11% |
dnwls6292 vs Nina | 7–11 | 38.89% |
dnwls6292 vs Eddy | 11–7 | 61.11% |
dnwls6292 vs Lee | 11–6 | 64.71% |
dnwls6292 vs Bryan | 11–5 | 68.75% |
dnwls6292 vs Lidia | 7–9 | 43.75% |
dnwls6292 vs Azucena | 9–6 | 60.00% |
dnwls6292 vs Leo | 4–10 | 28.57% |
dnwls6292 vs Leroy | 7–7 | 50.00% |
dnwls6292 vs Jun | 7–7 | 50.00% |
dnwls6292 vs Raven | 7–7 | 50.00% |
dnwls6292 vs Kuma | 5–8 | 38.46% |
dnwls6292 vs Lars | 6–4 | 60.00% |
dnwls6292 vs Claudio | 6–4 | 60.00% |
dnwls6292 vs Shaheen | 4–6 | 40.00% |
dnwls6292 vs Heihachi | 3–7 | 30.00% |
dnwls6292 vs Xiaoyu | 4–4 | 50.00% |
dnwls6292 vs Panda | 3–4 | 42.86% |
dnwls6292 vs Zafina | 1–6 | 14.29% |
dnwls6292 vs Jack-8 | 1–4 | 20.00% |
dnwls6292 vs Clive | 3–1 | 75.00% |
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.