Name history
training dummy | |
washed player | |
FallenFelix | |
CASHMONEYGANG | |
kick spam noob | |
noob gamer 7 |
training dummy vs Jin | 90–50 | 64.29% |
training dummy vs Hwoarang | 71–47 | 60.17% |
training dummy vs Reina | 63–54 | 53.85% |
training dummy vs Steve | 53–55 | 49.07% |
training dummy vs Lili | 55–52 | 51.40% |
training dummy vs Yoshimitsu | 52–45 | 53.61% |
training dummy vs Law | 65–31 | 67.71% |
training dummy vs Xiaoyu | 42–48 | 46.67% |
training dummy vs Lee | 52–37 | 58.43% |
training dummy vs Dragunov | 61–27 | 69.32% |
training dummy vs King | 44–42 | 51.16% |
training dummy vs Lars | 45–40 | 52.94% |
training dummy vs Feng | 46–34 | 57.50% |
training dummy vs Jun | 44–26 | 62.86% |
training dummy vs Eddy | 36–34 | 51.43% |
training dummy vs Nina | 39–28 | 58.21% |
training dummy vs Bryan | 45–21 | 68.18% |
training dummy vs Victor | 38–25 | 60.32% |
training dummy vs Paul | 38–24 | 61.29% |
training dummy vs Alisa | 29–26 | 52.73% |
training dummy vs Kazuya | 40–14 | 74.07% |
training dummy vs Shaheen | 25–28 | 47.17% |
training dummy vs Devil Jin | 33–18 | 64.71% |
training dummy vs Azucena | 27–23 | 54.00% |
training dummy vs Jack-8 | 30–19 | 61.22% |
training dummy vs Claudio | 28–21 | 57.14% |
training dummy vs Asuka | 32–16 | 66.67% |
training dummy vs Leo | 31–15 | 67.39% |
training dummy vs Raven | 22–23 | 48.89% |
training dummy vs Zafina | 22–20 | 52.38% |
training dummy vs Kuma | 17–14 | 54.84% |
training dummy vs Heihachi | 18–9 | 66.67% |
training dummy vs Leroy | 14–11 | 56.00% |
training dummy vs Lidia | 14–8 | 63.64% |
training dummy vs Clive | 8–13 | 38.10% |
training dummy vs Panda | 10–9 | 52.63% |
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.