NGL.Fumy vs Kazuya | 49–66 | 42.61% |
NGL.Fumy vs Reina | 47–47 | 50.00% |
NGL.Fumy vs Jin | 46–44 | 51.11% |
NGL.Fumy vs King | 50–38 | 56.82% |
NGL.Fumy vs Dragunov | 34–44 | 43.59% |
NGL.Fumy vs Bryan | 32–35 | 47.76% |
NGL.Fumy vs Devil Jin | 29–30 | 49.15% |
NGL.Fumy vs Paul | 23–34 | 40.35% |
NGL.Fumy vs Heihachi | 30–26 | 53.57% |
NGL.Fumy vs Victor | 30–25 | 54.55% |
NGL.Fumy vs Steve | 23–25 | 47.92% |
NGL.Fumy vs Nina | 26–19 | 57.78% |
NGL.Fumy vs Clive | 24–19 | 55.81% |
NGL.Fumy vs Hwoarang | 26–14 | 65.00% |
NGL.Fumy vs Lars | 12–25 | 32.43% |
NGL.Fumy vs Law | 18–17 | 51.43% |
NGL.Fumy vs Asuka | 16–19 | 45.71% |
NGL.Fumy vs Jun | 16–18 | 47.06% |
NGL.Fumy vs Claudio | 18–12 | 60.00% |
NGL.Fumy vs Lili | 14–14 | 50.00% |
NGL.Fumy vs Lee | 11–14 | 44.00% |
NGL.Fumy vs Eddy | 14–11 | 56.00% |
NGL.Fumy vs Xiaoyu | 11–13 | 45.83% |
NGL.Fumy vs Yoshimitsu | 14–9 | 60.87% |
NGL.Fumy vs Lidia | 12–11 | 52.17% |
NGL.Fumy vs Alisa | 10–12 | 45.45% |
NGL.Fumy vs Zafina | 11–11 | 50.00% |
NGL.Fumy vs Feng | 7–11 | 38.89% |
NGL.Fumy vs Azucena | 9–9 | 50.00% |
NGL.Fumy vs Shaheen | 6–11 | 35.29% |
NGL.Fumy vs Raven | 8–7 | 53.33% |
NGL.Fumy vs Jack-8 | 8–5 | 61.54% |
NGL.Fumy vs Leroy | 11–2 | 84.62% |
NGL.Fumy vs Kuma | 5–5 | 50.00% |
NGL.Fumy vs Leo | 7–2 | 77.78% |
NGL.Fumy vs Panda | 1–4 | 20.00% |
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.