Name history
木の芽四十郎 | |
コロナ四十郎 | |
細雪四十郎 | |
紅葉狩り四十郎 | |
万国旗四十郎 | |
彼岸花四十郎 | |
赤とんぼ四十郎 | |
ひつじ雲四十郎 | |
月見団子四十郎 | |
海水浴四十郎 | |
入道雲四十郎 | |
天城四十郎 |
木の芽四十郎 vs Dragunov | 40–75 | 34.78% |
木の芽四十郎 vs Paul | 45–53 | 45.92% |
木の芽四十郎 vs Kazuya | 40–49 | 44.94% |
木の芽四十郎 vs Reina | 39–44 | 46.99% |
木の芽四十郎 vs Lidia | 27–56 | 32.53% |
木の芽四十郎 vs Jin | 42–37 | 53.16% |
木の芽四十郎 vs Lili | 36–42 | 46.15% |
木の芽四十郎 vs Asuka | 33–41 | 44.59% |
木の芽四十郎 vs King | 31–41 | 43.06% |
木の芽四十郎 vs Hwoarang | 31–33 | 48.44% |
木の芽四十郎 vs Bryan | 36–28 | 56.25% |
木の芽四十郎 vs Nina | 33–30 | 52.38% |
木の芽四十郎 vs Yoshimitsu | 25–33 | 43.10% |
木の芽四十郎 vs Claudio | 33–23 | 58.93% |
木の芽四十郎 vs Jun | 19–37 | 33.93% |
木の芽四十郎 vs Steve | 14–39 | 26.42% |
木の芽四十郎 vs Azucena | 25–25 | 50.00% |
木の芽四十郎 vs Devil Jin | 16–30 | 34.78% |
木の芽四十郎 vs Leo | 22–24 | 47.83% |
木の芽四十郎 vs Law | 19–25 | 43.18% |
木の芽四十郎 vs Feng | 19–22 | 46.34% |
木の芽四十郎 vs Lars | 19–21 | 47.50% |
木の芽四十郎 vs Eddy | 14–24 | 36.84% |
木の芽四十郎 vs Alisa | 14–22 | 38.89% |
木の芽四十郎 vs Xiaoyu | 10–25 | 28.57% |
木の芽四十郎 vs Victor | 17–18 | 48.57% |
木の芽四十郎 vs Jack-8 | 12–22 | 35.29% |
木の芽四十郎 vs Lee | 11–22 | 33.33% |
木の芽四十郎 vs Leroy | 9–13 | 40.91% |
木の芽四十郎 vs Kuma | 4–14 | 22.22% |
木の芽四十郎 vs Shaheen | 5–9 | 35.71% |
木の芽四十郎 vs Raven | 6–8 | 42.86% |
木の芽四十郎 vs Panda | 2–5 | 28.57% |
木の芽四十郎 vs Zafina | 1–5 | 16.67% |
木の芽四十郎 vs Heihachi | 1–1 | 50.00% |
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.