NullTuna vs Jin | 54–60 | 47.37% |
NullTuna vs King | 54–56 | 49.09% |
NullTuna vs Kazuya | 57–51 | 52.78% |
NullTuna vs Hwoarang | 57–39 | 59.38% |
NullTuna vs Azucena | 48–44 | 52.17% |
NullTuna vs Bryan | 55–33 | 62.50% |
NullTuna vs Reina | 49–34 | 59.04% |
NullTuna vs Paul | 47–33 | 58.75% |
NullTuna vs Asuka | 39–41 | 48.75% |
NullTuna vs Yoshimitsu | 37–42 | 46.84% |
NullTuna vs Law | 53–24 | 68.83% |
NullTuna vs Steve | 43–33 | 56.58% |
NullTuna vs Dragunov | 50–25 | 66.67% |
NullTuna vs Lars | 41–32 | 56.16% |
NullTuna vs Lili | 34–38 | 47.22% |
NullTuna vs Lee | 43–29 | 59.72% |
NullTuna vs Lidia | 27–37 | 42.19% |
NullTuna vs Devil Jin | 33–29 | 53.23% |
NullTuna vs Jun | 32–30 | 51.61% |
NullTuna vs Victor | 33–27 | 55.00% |
NullTuna vs Leo | 28–28 | 50.00% |
NullTuna vs Raven | 27–22 | 55.10% |
NullTuna vs Nina | 20–28 | 41.67% |
NullTuna vs Eddy | 20–27 | 42.55% |
NullTuna vs Xiaoyu | 21–22 | 48.84% |
NullTuna vs Feng | 20–21 | 48.78% |
NullTuna vs Jack-8 | 12–28 | 30.00% |
NullTuna vs Alisa | 17–22 | 43.59% |
NullTuna vs Claudio | 15–18 | 45.45% |
NullTuna vs Leroy | 17–15 | 53.12% |
NullTuna vs Shaheen | 18–12 | 60.00% |
NullTuna vs Kuma | 15–9 | 62.50% |
NullTuna vs Zafina | 5–19 | 20.83% |
NullTuna vs Panda | 7–5 | 58.33% |
NullTuna vs Heihachi | 6–4 | 60.00% |
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.