NISHACHAR vs Paul | 108–123 | 46.75% |
NISHACHAR vs Jin | 99–112 | 46.92% |
NISHACHAR vs King | 95–109 | 46.57% |
NISHACHAR vs Law | 78–93 | 45.61% |
NISHACHAR vs Dragunov | 80–82 | 49.38% |
NISHACHAR vs Kazuya | 102–58 | 63.75% |
NISHACHAR vs Hwoarang | 64–67 | 48.85% |
NISHACHAR vs Bryan | 52–51 | 50.49% |
NISHACHAR vs Heihachi | 43–57 | 43.00% |
NISHACHAR vs Steve | 30–50 | 37.50% |
NISHACHAR vs Reina | 48–24 | 66.67% |
NISHACHAR vs Nina | 26–40 | 39.39% |
NISHACHAR vs Alisa | 23–39 | 37.10% |
NISHACHAR vs Yoshimitsu | 34–26 | 56.67% |
NISHACHAR vs Victor | 27–27 | 50.00% |
NISHACHAR vs Clive | 16–29 | 35.56% |
NISHACHAR vs Devil Jin | 23–21 | 52.27% |
NISHACHAR vs Lili | 23–19 | 54.76% |
NISHACHAR vs Leroy | 16–25 | 39.02% |
NISHACHAR vs Shaheen | 22–17 | 56.41% |
NISHACHAR vs Eddy | 18–17 | 51.43% |
NISHACHAR vs Azucena | 18–14 | 56.25% |
NISHACHAR vs Jack-8 | 13–18 | 41.94% |
NISHACHAR vs Lars | 10–21 | 32.26% |
NISHACHAR vs Lee | 16–13 | 55.17% |
NISHACHAR vs Asuka | 16–11 | 59.26% |
NISHACHAR vs Claudio | 10–15 | 40.00% |
NISHACHAR vs Feng | 10–14 | 41.67% |
NISHACHAR vs Jun | 7–11 | 38.89% |
NISHACHAR vs Lidia | 4–14 | 22.22% |
NISHACHAR vs Xiaoyu | 4–12 | 25.00% |
NISHACHAR vs Zafina | 4–12 | 25.00% |
NISHACHAR vs Leo | 8–5 | 61.54% |
NISHACHAR vs Kuma | 5–8 | 38.46% |
NISHACHAR vs Raven | 2–7 | 22.22% |
NISHACHAR vs Panda | 2–1 | 66.67% |
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.