| Feng001aa vs Reina | 30–25 | 54.55% |
| Feng001aa vs Dragunov | 25–26 | 49.02% |
| Feng001aa vs Kazuya | 31–19 | 62.00% |
| Feng001aa vs King | 24–18 | 57.14% |
| Feng001aa vs Jin | 17–13 | 56.67% |
| Feng001aa vs Bryan | 14–14 | 50.00% |
| Feng001aa vs Law | 13–14 | 48.15% |
| Feng001aa vs Asuka | 11–15 | 42.31% |
| Feng001aa vs Feng | 11–15 | 42.31% |
| Feng001aa vs Devil Jin | 12–12 | 50.00% |
| Feng001aa vs Lili | 10–14 | 41.67% |
| Feng001aa vs Leo | 10–13 | 43.48% |
| Feng001aa vs Eddy | 10–12 | 45.45% |
| Feng001aa vs Yoshimitsu | 10–11 | 47.62% |
| Feng001aa vs Steve | 10–10 | 50.00% |
| Feng001aa vs Jack-8 | 11–9 | 55.00% |
| Feng001aa vs Hwoarang | 10–9 | 52.63% |
| Feng001aa vs Leroy | 12–6 | 66.67% |
| Feng001aa vs Jun | 8–8 | 50.00% |
| Feng001aa vs Alisa | 3–11 | 21.43% |
| Feng001aa vs Victor | 5–9 | 35.71% |
| Feng001aa vs Claudio | 4–9 | 30.77% |
| Feng001aa vs Lee | 2–11 | 15.38% |
| Feng001aa vs Lars | 7–5 | 58.33% |
| Feng001aa vs Zafina | 5–7 | 41.67% |
| Feng001aa vs Xiaoyu | 5–6 | 45.45% |
| Feng001aa vs Azucena | 5–5 | 50.00% |
| Feng001aa vs Clive | 5–5 | 50.00% |
| Feng001aa vs Paul | 1–8 | 11.11% |
| Feng001aa vs Shaheen | 3–5 | 37.50% |
| Feng001aa vs Raven | 5–3 | 62.50% |
| Feng001aa vs Nina | 1–6 | 14.29% |
| Feng001aa vs Heihachi | 5–2 | 71.43% |
| Feng001aa vs Fahkumram | 3–4 | 42.86% |
| Feng001aa vs Kuma | 2–4 | 33.33% |
| Feng001aa vs Lidia | 2–3 | 40.00% |
| Feng001aa vs Panda | 2–2 | 50.00% |
| Feng001aa vs Anna | 0–2 | 0.00% |
| Feng001aa vs Armor King | 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.