| FDLT_Madara vs Jin | 21–11 | 65.62% |
| FDLT_Madara vs Steve | 20–6 | 76.92% |
| FDLT_Madara vs Paul | 21–4 | 84.00% |
| FDLT_Madara vs Kazuya | 17–3 | 85.00% |
| FDLT_Madara vs Leroy | 14–6 | 70.00% |
| FDLT_Madara vs Yoshimitsu | 16–3 | 84.21% |
| FDLT_Madara vs Lars | 13–4 | 76.47% |
| FDLT_Madara vs Dragunov | 13–3 | 81.25% |
| FDLT_Madara vs Lili | 9–6 | 60.00% |
| FDLT_Madara vs Jun | 12–3 | 80.00% |
| FDLT_Madara vs King | 11–3 | 78.57% |
| FDLT_Madara vs Xiaoyu | 12–2 | 85.71% |
| FDLT_Madara vs Devil Jin | 9–5 | 64.29% |
| FDLT_Madara vs Bryan | 12–1 | 92.31% |
| FDLT_Madara vs Alisa | 9–4 | 69.23% |
| FDLT_Madara vs Reina | 11–2 | 84.62% |
| FDLT_Madara vs Lidia | 10–2 | 83.33% |
| FDLT_Madara vs Feng | 3–6 | 33.33% |
| FDLT_Madara vs Kuma | 5–3 | 62.50% |
| FDLT_Madara vs Eddy | 7–1 | 87.50% |
| FDLT_Madara vs Heihachi | 3–5 | 37.50% |
| FDLT_Madara vs Hwoarang | 7–0 | 100.00% |
| FDLT_Madara vs Nina | 3–4 | 42.86% |
| FDLT_Madara vs Zafina | 6–1 | 85.71% |
| FDLT_Madara vs Claudio | 4–2 | 66.67% |
| FDLT_Madara vs Azucena | 4–2 | 66.67% |
| FDLT_Madara vs Raven | 4–2 | 66.67% |
| FDLT_Madara vs Lee | 5–0 | 100.00% |
| FDLT_Madara vs Victor | 3–2 | 60.00% |
| FDLT_Madara vs Asuka | 2–2 | 50.00% |
| FDLT_Madara vs Leo | 1–3 | 25.00% |
| FDLT_Madara vs Armor King | 4–0 | 100.00% |
| FDLT_Madara vs Law | 2–0 | 100.00% |
| FDLT_Madara vs Panda | 0–2 | 0.00% |
| FDLT_Madara vs Clive | 2–0 | 100.00% |
| FDLT_Madara vs Fahkumram | 2–0 | 100.00% |
| FDLT_Madara vs Miary Zo | 2–0 | 100.00% |
| FDLT_Madara vs Shaheen | 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.