| FeeGee vs King | 16–12 | 57.14% |
| FeeGee vs Jin | 8–13 | 38.10% |
| FeeGee vs Armor King | 4–16 | 20.00% |
| FeeGee vs Kazuya | 8–9 | 47.06% |
| FeeGee vs Steve | 7–9 | 43.75% |
| FeeGee vs Azucena | 6–9 | 40.00% |
| FeeGee vs Hwoarang | 6–6 | 50.00% |
| FeeGee vs Dragunov | 9–3 | 75.00% |
| FeeGee vs Paul | 4–6 | 40.00% |
| FeeGee vs Lars | 5–5 | 50.00% |
| FeeGee vs Victor | 3–7 | 30.00% |
| FeeGee vs Lidia | 6–4 | 60.00% |
| FeeGee vs Reina | 0–9 | 0.00% |
| FeeGee vs Law | 8–0 | 100.00% |
| FeeGee vs Devil Jin | 3–5 | 37.50% |
| FeeGee vs Leo | 4–4 | 50.00% |
| FeeGee vs Alisa | 4–4 | 50.00% |
| FeeGee vs Shaheen | 6–2 | 75.00% |
| FeeGee vs Eddy | 6–2 | 75.00% |
| FeeGee vs Bryan | 3–4 | 42.86% |
| FeeGee vs Lee | 2–5 | 28.57% |
| FeeGee vs Anna | 3–4 | 42.86% |
| FeeGee vs Jack-8 | 2–4 | 33.33% |
| FeeGee vs Nina | 3–3 | 50.00% |
| FeeGee vs Xiaoyu | 2–3 | 40.00% |
| FeeGee vs Jun | 4–1 | 80.00% |
| FeeGee vs Lili | 3–1 | 75.00% |
| FeeGee vs Raven | 4–0 | 100.00% |
| FeeGee vs Yoshimitsu | 3–0 | 100.00% |
| FeeGee vs Feng | 1–2 | 33.33% |
| FeeGee vs Claudio | 3–0 | 100.00% |
| FeeGee vs Leroy | 2–1 | 66.67% |
| FeeGee vs Heihachi | 2–1 | 66.67% |
| FeeGee vs Clive | 1–2 | 33.33% |
| FeeGee vs Kuma | 0–2 | 0.00% |
| FeeGee vs Zafina | 2–0 | 100.00% |
| FeeGee vs Fahkumram | 2–0 | 100.00% |
| FeeGee vs Asuka | 1–0 | 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.