| MadamFine vs Jin | 26–48 | 35.14% |
| MadamFine vs King | 35–35 | 50.00% |
| MadamFine vs Reina | 29–33 | 46.77% |
| MadamFine vs Eddy | 19–30 | 38.78% |
| MadamFine vs Hwoarang | 21–24 | 46.67% |
| MadamFine vs Lili | 12–27 | 30.77% |
| MadamFine vs Asuka | 14–23 | 37.84% |
| MadamFine vs Law | 16–20 | 44.44% |
| MadamFine vs Bryan | 9–26 | 25.71% |
| MadamFine vs Steve | 16–19 | 45.71% |
| MadamFine vs Yoshimitsu | 15–18 | 45.45% |
| MadamFine vs Jun | 14–18 | 43.75% |
| MadamFine vs Kazuya | 10–18 | 35.71% |
| MadamFine vs Azucena | 8–17 | 32.00% |
| MadamFine vs Dragunov | 8–16 | 33.33% |
| MadamFine vs Alisa | 8–14 | 36.36% |
| MadamFine vs Xiaoyu | 5–16 | 23.81% |
| MadamFine vs Leo | 11–10 | 52.38% |
| MadamFine vs Lars | 7–14 | 33.33% |
| MadamFine vs Raven | 10–10 | 50.00% |
| MadamFine vs Claudio | 7–12 | 36.84% |
| MadamFine vs Nina | 3–16 | 15.79% |
| MadamFine vs Victor | 10–9 | 52.63% |
| MadamFine vs Lee | 10–8 | 55.56% |
| MadamFine vs Lidia | 7–10 | 41.18% |
| MadamFine vs Paul | 6–9 | 40.00% |
| MadamFine vs Shaheen | 5–7 | 41.67% |
| MadamFine vs Devil Jin | 4–5 | 44.44% |
| MadamFine vs Leroy | 1–6 | 14.29% |
| MadamFine vs Feng | 1–5 | 16.67% |
| MadamFine vs Kuma | 3–2 | 60.00% |
| MadamFine vs Jack-8 | 2–2 | 50.00% |
| MadamFine vs Heihachi | 2–2 | 50.00% |
| MadamFine vs Anna | 1–2 | 33.33% |
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.