Mac_Nice vs Jin | 89–78 | 53.29% |
Mac_Nice vs Kazuya | 86–61 | 58.50% |
Mac_Nice vs Reina | 62–63 | 49.60% |
Mac_Nice vs Bryan | 47–76 | 38.21% |
Mac_Nice vs King | 60–38 | 61.22% |
Mac_Nice vs Hwoarang | 48–47 | 50.53% |
Mac_Nice vs Steve | 35–44 | 44.30% |
Mac_Nice vs Feng | 33–44 | 42.86% |
Mac_Nice vs Lili | 46–31 | 59.74% |
Mac_Nice vs Jun | 42–31 | 57.53% |
Mac_Nice vs Clive | 31–42 | 42.47% |
Mac_Nice vs Eddy | 31–40 | 43.66% |
Mac_Nice vs Paul | 37–33 | 52.86% |
Mac_Nice vs Lars | 30–40 | 42.86% |
Mac_Nice vs Dragunov | 33–36 | 47.83% |
Mac_Nice vs Law | 34–31 | 52.31% |
Mac_Nice vs Yoshimitsu | 31–29 | 51.67% |
Mac_Nice vs Lee | 19–33 | 36.54% |
Mac_Nice vs Azucena | 23–26 | 46.94% |
Mac_Nice vs Lidia | 14–31 | 31.11% |
Mac_Nice vs Nina | 25–19 | 56.82% |
Mac_Nice vs Heihachi | 24–20 | 54.55% |
Mac_Nice vs Asuka | 21–21 | 50.00% |
Mac_Nice vs Devil Jin | 22–20 | 52.38% |
Mac_Nice vs Alisa | 20–14 | 58.82% |
Mac_Nice vs Leo | 20–13 | 60.61% |
Mac_Nice vs Zafina | 10–23 | 30.30% |
Mac_Nice vs Kuma | 13–15 | 46.43% |
Mac_Nice vs Xiaoyu | 14–12 | 53.85% |
Mac_Nice vs Jack-8 | 15–10 | 60.00% |
Mac_Nice vs Shaheen | 11–14 | 44.00% |
Mac_Nice vs Leroy | 9–15 | 37.50% |
Mac_Nice vs Claudio | 6–16 | 27.27% |
Mac_Nice vs Victor | 13–9 | 59.09% |
Mac_Nice vs Raven | 7–15 | 31.82% |
Mac_Nice vs Panda | 7–7 | 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.