WAVYWIDIT vs Jin | 98–96 | 50.52% |
WAVYWIDIT vs Law | 93–83 | 52.84% |
WAVYWIDIT vs King | 96–80 | 54.55% |
WAVYWIDIT vs Hwoarang | 82–82 | 50.00% |
WAVYWIDIT vs Kazuya | 61–69 | 46.92% |
WAVYWIDIT vs Eddy | 76–50 | 60.32% |
WAVYWIDIT vs Reina | 60–61 | 49.59% |
WAVYWIDIT vs Dragunov | 58–59 | 49.57% |
WAVYWIDIT vs Paul | 56–59 | 48.70% |
WAVYWIDIT vs Bryan | 54–48 | 52.94% |
WAVYWIDIT vs Steve | 53–48 | 52.48% |
WAVYWIDIT vs Yoshimitsu | 47–53 | 47.00% |
WAVYWIDIT vs Devil Jin | 32–48 | 40.00% |
WAVYWIDIT vs Victor | 39–37 | 51.32% |
WAVYWIDIT vs Alisa | 32–38 | 45.71% |
WAVYWIDIT vs Xiaoyu | 35–34 | 50.72% |
WAVYWIDIT vs Jun | 39–29 | 57.35% |
WAVYWIDIT vs Lili | 29–37 | 43.94% |
WAVYWIDIT vs Lee | 28–34 | 45.16% |
WAVYWIDIT vs Asuka | 29–28 | 50.88% |
WAVYWIDIT vs Nina | 27–29 | 48.21% |
WAVYWIDIT vs Feng | 22–30 | 42.31% |
WAVYWIDIT vs Leo | 26–24 | 52.00% |
WAVYWIDIT vs Azucena | 26–23 | 53.06% |
WAVYWIDIT vs Raven | 18–20 | 47.37% |
WAVYWIDIT vs Lars | 21–16 | 56.76% |
WAVYWIDIT vs Claudio | 21–16 | 56.76% |
WAVYWIDIT vs Leroy | 21–14 | 60.00% |
WAVYWIDIT vs Lidia | 21–11 | 65.62% |
WAVYWIDIT vs Zafina | 15–15 | 50.00% |
WAVYWIDIT vs Kuma | 12–15 | 44.44% |
WAVYWIDIT vs Jack-8 | 13–8 | 61.90% |
WAVYWIDIT vs Panda | 5–8 | 38.46% |
WAVYWIDIT vs Shaheen | 6–6 | 50.00% |
WAVYWIDIT vs Heihachi | 2–1 | 66.67% |
WAVYWIDIT vs Clive | 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.