| FahqYoFrames vs Jin | 75–78 | 49.02% |
| FahqYoFrames vs Bryan | 75–58 | 56.39% |
| FahqYoFrames vs King | 65–61 | 51.59% |
| FahqYoFrames vs Kazuya | 66–53 | 55.46% |
| FahqYoFrames vs Reina | 42–59 | 41.58% |
| FahqYoFrames vs Lidia | 48–51 | 48.48% |
| FahqYoFrames vs Law | 50–39 | 56.18% |
| FahqYoFrames vs Hwoarang | 43–42 | 50.59% |
| FahqYoFrames vs Dragunov | 40–38 | 51.28% |
| FahqYoFrames vs Heihachi | 43–34 | 55.84% |
| FahqYoFrames vs Lili | 33–37 | 47.14% |
| FahqYoFrames vs Steve | 31–31 | 50.00% |
| FahqYoFrames vs Jun | 34–28 | 54.84% |
| FahqYoFrames vs Lee | 22–39 | 36.07% |
| FahqYoFrames vs Clive | 24–37 | 39.34% |
| FahqYoFrames vs Paul | 35–22 | 61.40% |
| FahqYoFrames vs Yoshimitsu | 24–25 | 48.98% |
| FahqYoFrames vs Eddy | 22–25 | 46.81% |
| FahqYoFrames vs Lars | 19–25 | 43.18% |
| FahqYoFrames vs Asuka | 22–21 | 51.16% |
| FahqYoFrames vs Leo | 17–20 | 45.95% |
| FahqYoFrames vs Feng | 18–18 | 50.00% |
| FahqYoFrames vs Victor | 15–21 | 41.67% |
| FahqYoFrames vs Jack-8 | 18–16 | 52.94% |
| FahqYoFrames vs Devil Jin | 10–24 | 29.41% |
| FahqYoFrames vs Nina | 12–22 | 35.29% |
| FahqYoFrames vs Azucena | 14–20 | 41.18% |
| FahqYoFrames vs Raven | 14–18 | 43.75% |
| FahqYoFrames vs Xiaoyu | 12–16 | 42.86% |
| FahqYoFrames vs Alisa | 7–19 | 26.92% |
| FahqYoFrames vs Claudio | 8–11 | 42.11% |
| FahqYoFrames vs Shaheen | 9–9 | 50.00% |
| FahqYoFrames vs Zafina | 9–9 | 50.00% |
| FahqYoFrames vs Kuma | 8–8 | 50.00% |
| FahqYoFrames vs Leroy | 7–4 | 63.64% |
| FahqYoFrames vs Panda | 1–3 | 25.00% |
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.