| FG|FailinFrameS vs King | 39–71 | 35.45% |
| FG|FailinFrameS vs Eddy | 16–84 | 16.00% |
| FG|FailinFrameS vs Jin | 32–57 | 35.96% |
| FG|FailinFrameS vs Hwoarang | 32–51 | 38.55% |
| FG|FailinFrameS vs Steve | 30–51 | 37.04% |
| FG|FailinFrameS vs Law | 13–55 | 19.12% |
| FG|FailinFrameS vs Heihachi | 14–45 | 23.73% |
| FG|FailinFrameS vs Lee | 17–40 | 29.82% |
| FG|FailinFrameS vs Victor | 12–42 | 22.22% |
| FG|FailinFrameS vs Dragunov | 16–37 | 30.19% |
| FG|FailinFrameS vs Kazuya | 21–28 | 42.86% |
| FG|FailinFrameS vs Jun | 16–32 | 33.33% |
| FG|FailinFrameS vs Reina | 21–27 | 43.75% |
| FG|FailinFrameS vs Xiaoyu | 26–21 | 55.32% |
| FG|FailinFrameS vs Clive | 11–35 | 23.91% |
| FG|FailinFrameS vs Lili | 14–31 | 31.11% |
| FG|FailinFrameS vs Armor King | 11–31 | 26.19% |
| FG|FailinFrameS vs Yoshimitsu | 12–26 | 31.58% |
| FG|FailinFrameS vs Miary Zo | 12–25 | 32.43% |
| FG|FailinFrameS vs Fahkumram | 5–31 | 13.89% |
| FG|FailinFrameS vs Paul | 9–25 | 26.47% |
| FG|FailinFrameS vs Lars | 12–22 | 35.29% |
| FG|FailinFrameS vs Nina | 15–17 | 46.88% |
| FG|FailinFrameS vs Bryan | 9–22 | 29.03% |
| FG|FailinFrameS vs Azucena | 10–21 | 32.26% |
| FG|FailinFrameS vs Anna | 14–16 | 46.67% |
| FG|FailinFrameS vs Asuka | 8–21 | 27.59% |
| FG|FailinFrameS vs Leroy | 11–17 | 39.29% |
| FG|FailinFrameS vs Lidia | 6–20 | 23.08% |
| FG|FailinFrameS vs Raven | 7–18 | 28.00% |
| FG|FailinFrameS vs Leo | 9–13 | 40.91% |
| FG|FailinFrameS vs Jack-8 | 9–12 | 42.86% |
| FG|FailinFrameS vs Devil Jin | 6–15 | 28.57% |
| FG|FailinFrameS vs Kuma | 6–15 | 28.57% |
| FG|FailinFrameS vs Claudio | 3–16 | 15.79% |
| FG|FailinFrameS vs Alisa | 3–13 | 18.75% |
| FG|FailinFrameS vs Feng | 5–9 | 35.71% |
| FG|FailinFrameS vs Zafina | 5–9 | 35.71% |
| FG|FailinFrameS vs Shaheen | 3–10 | 23.08% |
| FG|FailinFrameS vs Panda | 2–0 | 100.00% |
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.