Fraud god vs King | 75–64 | 53.96% |
Fraud god vs Jin | 68–71 | 48.92% |
Fraud god vs Law | 46–70 | 39.66% |
Fraud god vs Reina | 55–58 | 48.67% |
Fraud god vs Kazuya | 56–54 | 50.91% |
Fraud god vs Hwoarang | 47–58 | 44.76% |
Fraud god vs Eddy | 23–67 | 25.56% |
Fraud god vs Lili | 42–45 | 48.28% |
Fraud god vs Steve | 36–46 | 43.90% |
Fraud god vs Paul | 29–48 | 37.66% |
Fraud god vs Bryan | 33–41 | 44.59% |
Fraud god vs Azucena | 33–40 | 45.21% |
Fraud god vs Lidia | 25–46 | 35.21% |
Fraud god vs Dragunov | 39–30 | 56.52% |
Fraud god vs Lee | 31–37 | 45.59% |
Fraud god vs Victor | 24–41 | 36.92% |
Fraud god vs Jun | 18–42 | 30.00% |
Fraud god vs Lars | 21–31 | 40.38% |
Fraud god vs Nina | 19–33 | 36.54% |
Fraud god vs Asuka | 20–31 | 39.22% |
Fraud god vs Heihachi | 24–25 | 48.98% |
Fraud god vs Leo | 21–25 | 45.65% |
Fraud god vs Yoshimitsu | 21–23 | 47.73% |
Fraud god vs Alisa | 16–27 | 37.21% |
Fraud god vs Xiaoyu | 16–24 | 40.00% |
Fraud god vs Jack-8 | 15–22 | 40.54% |
Fraud god vs Devil Jin | 12–21 | 36.36% |
Fraud god vs Feng | 11–21 | 34.38% |
Fraud god vs Zafina | 10–21 | 32.26% |
Fraud god vs Leroy | 18–11 | 62.07% |
Fraud god vs Shaheen | 10–17 | 37.04% |
Fraud god vs Kuma | 7–12 | 36.84% |
Fraud god vs Claudio | 10–8 | 55.56% |
Fraud god vs Raven | 8–10 | 44.44% |
Fraud god vs Clive | 3–15 | 16.67% |
Fraud god vs Panda | 2–8 | 20.00% |
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.