Twitch@Kim_Xiao vs Jin | 171–144 | 54.29% |
Twitch@Kim_Xiao vs Bryan | 180–131 | 57.88% |
Twitch@Kim_Xiao vs King | 178–125 | 58.75% |
Twitch@Kim_Xiao vs Yoshimitsu | 175–115 | 60.34% |
Twitch@Kim_Xiao vs Dragunov | 164–124 | 56.94% |
Twitch@Kim_Xiao vs Hwoarang | 142–129 | 52.40% |
Twitch@Kim_Xiao vs Kazuya | 154–105 | 59.46% |
Twitch@Kim_Xiao vs Clive | 85–138 | 38.12% |
Twitch@Kim_Xiao vs Shaheen | 109–106 | 50.70% |
Twitch@Kim_Xiao vs Feng | 120–94 | 56.07% |
Twitch@Kim_Xiao vs Lili | 123–90 | 57.75% |
Twitch@Kim_Xiao vs Victor | 91–107 | 45.96% |
Twitch@Kim_Xiao vs Eddy | 108–79 | 57.75% |
Twitch@Kim_Xiao vs Jun | 109–73–1 | 59.89% |
Twitch@Kim_Xiao vs Law | 93–89 | 51.10% |
Twitch@Kim_Xiao vs Lars | 97–82 | 54.19% |
Twitch@Kim_Xiao vs Raven | 106–71 | 59.89% |
Twitch@Kim_Xiao vs Lee | 123–53 | 69.89% |
Twitch@Kim_Xiao vs Leroy | 89–87 | 50.57% |
Twitch@Kim_Xiao vs Steve | 87–88 | 49.71% |
Twitch@Kim_Xiao vs Reina | 111–64 | 63.43% |
Twitch@Kim_Xiao vs Jack-8 | 89–84 | 51.45% |
Twitch@Kim_Xiao vs Xiaoyu | 108–44 | 71.05% |
Twitch@Kim_Xiao vs Kuma | 70–79 | 46.98% |
Twitch@Kim_Xiao vs Asuka | 80–68 | 54.05% |
Twitch@Kim_Xiao vs Paul | 83–61 | 57.64% |
Twitch@Kim_Xiao vs Zafina | 92–51 | 64.34% |
Twitch@Kim_Xiao vs Leo | 84–58 | 59.15% |
Twitch@Kim_Xiao vs Alisa | 84–54 | 60.87% |
Twitch@Kim_Xiao vs Lidia | 76–59 | 56.30% |
Twitch@Kim_Xiao vs Nina | 87–41 | 67.97% |
Twitch@Kim_Xiao vs Claudio | 62–65 | 48.82% |
Twitch@Kim_Xiao vs Azucena | 62–59 | 51.24% |
Twitch@Kim_Xiao vs Devil Jin | 69–47 | 59.48% |
Twitch@Kim_Xiao vs Heihachi | 42–50 | 45.65% |
Twitch@Kim_Xiao vs Panda | 25–26 | 49.02% |
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.