MARCHELOO vs Kazuya | 97–80 | 54.80% |
MARCHELOO vs Jin | 76–71 | 51.70% |
MARCHELOO vs Heihachi | 67–51 | 56.78% |
MARCHELOO vs King | 59–57–1 | 50.86% |
MARCHELOO vs Reina | 42–60 | 41.18% |
MARCHELOO vs Bryan | 60–41 | 59.41% |
MARCHELOO vs Steve | 58–42 | 58.00% |
MARCHELOO vs Asuka | 57–42 | 57.58% |
MARCHELOO vs Clive | 55–43 | 56.12% |
MARCHELOO vs Law | 54–41 | 56.84% |
MARCHELOO vs Hwoarang | 51–29 | 63.75% |
MARCHELOO vs Lili | 47–30 | 61.04% |
MARCHELOO vs Paul | 36–32 | 52.94% |
MARCHELOO vs Dragunov | 36–28 | 56.25% |
MARCHELOO vs Jun | 26–25 | 50.98% |
MARCHELOO vs Lars | 30–15 | 66.67% |
MARCHELOO vs Yoshimitsu | 23–20 | 53.49% |
MARCHELOO vs Devil Jin | 19–23 | 45.24% |
MARCHELOO vs Lidia | 17–25 | 40.48% |
MARCHELOO vs Nina | 20–19 | 51.28% |
MARCHELOO vs Lee | 22–17 | 56.41% |
MARCHELOO vs Azucena | 13–26 | 33.33% |
MARCHELOO vs Alisa | 19–15 | 55.88% |
MARCHELOO vs Xiaoyu | 21–11 | 65.62% |
MARCHELOO vs Jack-8 | 16–12 | 57.14% |
MARCHELOO vs Leo | 12–16 | 42.86% |
MARCHELOO vs Eddy | 13–14 | 48.15% |
MARCHELOO vs Feng | 14–12 | 53.85% |
MARCHELOO vs Kuma | 13–11 | 54.17% |
MARCHELOO vs Claudio | 12–8 | 60.00% |
MARCHELOO vs Leroy | 14–6 | 70.00% |
MARCHELOO vs Shaheen | 9–9 | 50.00% |
MARCHELOO vs Raven | 7–8 | 46.67% |
MARCHELOO vs Victor | 4–10 | 28.57% |
MARCHELOO vs Zafina | 6–5 | 54.55% |
MARCHELOO vs Panda | 5–0 | 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.