| FeiLin vs Fahkumram | 9–36 | 20.00% |
| FeiLin vs King | 17–27 | 38.64% |
| FeiLin vs Law | 14–25 | 35.90% |
| FeiLin vs Reina | 17–21 | 44.74% |
| FeiLin vs Hwoarang | 12–20 | 37.50% |
| FeiLin vs Jin | 8–20 | 28.57% |
| FeiLin vs Steve | 11–16 | 40.74% |
| FeiLin vs Victor | 8–14 | 36.36% |
| FeiLin vs Asuka | 5–15 | 25.00% |
| FeiLin vs Jun | 9–11 | 45.00% |
| FeiLin vs Bryan | 4–15 | 21.05% |
| FeiLin vs Kazuya | 7–9 | 43.75% |
| FeiLin vs Nina | 4–12 | 25.00% |
| FeiLin vs Clive | 5–10 | 33.33% |
| FeiLin vs Paul | 3–11 | 21.43% |
| FeiLin vs Lee | 3–11 | 21.43% |
| FeiLin vs Lili | 3–10 | 23.08% |
| FeiLin vs Claudio | 6–6 | 50.00% |
| FeiLin vs Lidia | 5–7 | 41.67% |
| FeiLin vs Alisa | 2–9 | 18.18% |
| FeiLin vs Heihachi | 3–8 | 27.27% |
| FeiLin vs Dragunov | 5–5 | 50.00% |
| FeiLin vs Azucena | 6–4 | 60.00% |
| FeiLin vs Anna | 3–7 | 30.00% |
| FeiLin vs Xiaoyu | 1–8 | 11.11% |
| FeiLin vs Feng | 2–6 | 25.00% |
| FeiLin vs Eddy | 2–4 | 33.33% |
| FeiLin vs Yoshimitsu | 2–3 | 40.00% |
| FeiLin vs Raven | 1–4 | 20.00% |
| FeiLin vs Leroy | 3–1 | 75.00% |
| FeiLin vs Jack-8 | 0–3 | 0.00% |
| FeiLin vs Devil Jin | 0–3 | 0.00% |
| FeiLin vs Lars | 3–0 | 100.00% |
| FeiLin vs Panda | 0–3 | 0.00% |
| FeiLin vs Kuma | 0–2 | 0.00% |
| FeiLin vs Zafina | 1–1 | 50.00% |
| FeiLin vs Armor King | 0–2 | 0.00% |
| FeiLin vs Leo | 0–1 | 0.00% |
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.