gastar_ten vs Dragunov | 86–78 | 52.44% |
gastar_ten vs Reina | 59–78 | 43.07% |
gastar_ten vs Paul | 65–68 | 48.87% |
gastar_ten vs Kazuya | 48–65 | 42.48% |
gastar_ten vs King | 61–46 | 57.01% |
gastar_ten vs Asuka | 57–50 | 53.27% |
gastar_ten vs Hwoarang | 47–55 | 46.08% |
gastar_ten vs Jun | 34–62 | 35.42% |
gastar_ten vs Heihachi | 54–40 | 57.45% |
gastar_ten vs Yoshimitsu | 33–60 | 35.48% |
gastar_ten vs Azucena | 39–53 | 42.39% |
gastar_ten vs Victor | 42–49 | 46.15% |
gastar_ten vs Jin | 37–49 | 43.02% |
gastar_ten vs Lili | 36–48 | 42.86% |
gastar_ten vs Alisa | 47–37 | 55.95% |
gastar_ten vs Feng | 36–40 | 47.37% |
gastar_ten vs Steve | 32–37 | 46.38% |
gastar_ten vs Law | 21–47 | 30.88% |
gastar_ten vs Bryan | 31–37 | 45.59% |
gastar_ten vs Xiaoyu | 16–45 | 26.23% |
gastar_ten vs Devil Jin | 20–40 | 33.33% |
gastar_ten vs Eddy | 30–29 | 50.85% |
gastar_ten vs Nina | 21–33 | 38.89% |
gastar_ten vs Lars | 31–20 | 60.78% |
gastar_ten vs Jack-8 | 18–29 | 38.30% |
gastar_ten vs Leroy | 21–26 | 44.68% |
gastar_ten vs Leo | 16–28 | 36.36% |
gastar_ten vs Claudio | 17–26 | 39.53% |
gastar_ten vs Raven | 21–16 | 56.76% |
gastar_ten vs Lee | 16–18 | 47.06% |
gastar_ten vs Zafina | 13–20 | 39.39% |
gastar_ten vs Shaheen | 16–13 | 55.17% |
gastar_ten vs Lidia | 7–21 | 25.00% |
gastar_ten vs Kuma | 9–11 | 45.00% |
gastar_ten vs Panda | 4–7 | 36.36% |
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.