Name history
HabOftDurchfall | |
FrizKolaEnjoyer | |
METTL JIN | |
WinnerGetsKebab | |
nachdruck |
HabOftDurchfall vs Bryan | 59–51 | 53.64% |
HabOftDurchfall vs Kazuya | 62–47 | 56.88% |
HabOftDurchfall vs Jin | 30–42 | 41.67% |
HabOftDurchfall vs King | 34–35 | 49.28% |
HabOftDurchfall vs Law | 35–24 | 59.32% |
HabOftDurchfall vs Hwoarang | 28–27 | 50.91% |
HabOftDurchfall vs Lili | 32–22 | 59.26% |
HabOftDurchfall vs Reina | 22–26 | 45.83% |
HabOftDurchfall vs Steve | 23–23 | 50.00% |
HabOftDurchfall vs Paul | 21–20 | 51.22% |
HabOftDurchfall vs Devil Jin | 16–23 | 41.03% |
HabOftDurchfall vs Yoshimitsu | 18–20 | 47.37% |
HabOftDurchfall vs Dragunov | 20–15–1 | 57.14% |
HabOftDurchfall vs Jun | 17–18 | 48.57% |
HabOftDurchfall vs Feng | 9–23 | 28.12% |
HabOftDurchfall vs Lee | 18–13 | 58.06% |
HabOftDurchfall vs Xiaoyu | 22–5 | 81.48% |
HabOftDurchfall vs Lars | 9–18 | 33.33% |
HabOftDurchfall vs Asuka | 14–12 | 53.85% |
HabOftDurchfall vs Lidia | 16–8 | 66.67% |
HabOftDurchfall vs Nina | 8–14 | 36.36% |
HabOftDurchfall vs Victor | 10–11 | 47.62% |
HabOftDurchfall vs Azucena | 9–10 | 47.37% |
HabOftDurchfall vs Alisa | 5–13 | 27.78% |
HabOftDurchfall vs Leo | 8–9 | 47.06% |
HabOftDurchfall vs Jack-8 | 9–7 | 56.25% |
HabOftDurchfall vs Shaheen | 5–8 | 38.46% |
HabOftDurchfall vs Raven | 5–6 | 45.45% |
HabOftDurchfall vs Eddy | 2–9 | 18.18% |
HabOftDurchfall vs Heihachi | 2–8 | 20.00% |
HabOftDurchfall vs Claudio | 4–5 | 44.44% |
HabOftDurchfall vs Kuma | 2–7 | 22.22% |
HabOftDurchfall vs Zafina | 1–8 | 11.11% |
HabOftDurchfall vs Leroy | 6–3 | 66.67% |
HabOftDurchfall vs Panda | 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.