| MangeurDeCardan vs Kazuya | 22–32 | 40.74% |
| MangeurDeCardan vs Jin | 28–20 | 58.33% |
| MangeurDeCardan vs Reina | 24–17 | 58.54% |
| MangeurDeCardan vs Steve | 17–19 | 47.22% |
| MangeurDeCardan vs Bryan | 17–17 | 50.00% |
| MangeurDeCardan vs King | 15–16 | 48.39% |
| MangeurDeCardan vs Paul | 13–16 | 44.83% |
| MangeurDeCardan vs Yoshimitsu | 17–11 | 60.71% |
| MangeurDeCardan vs Jun | 10–18 | 35.71% |
| MangeurDeCardan vs Dragunov | 7–20 | 25.93% |
| MangeurDeCardan vs Lili | 16–9 | 64.00% |
| MangeurDeCardan vs Hwoarang | 7–17 | 29.17% |
| MangeurDeCardan vs Asuka | 10–14 | 41.67% |
| MangeurDeCardan vs Lidia | 11–10 | 52.38% |
| MangeurDeCardan vs Law | 8–12 | 40.00% |
| MangeurDeCardan vs Azucena | 8–12 | 40.00% |
| MangeurDeCardan vs Victor | 7–13 | 35.00% |
| MangeurDeCardan vs Devil Jin | 7–10 | 41.18% |
| MangeurDeCardan vs Alisa | 11–6 | 64.71% |
| MangeurDeCardan vs Lee | 2–13 | 13.33% |
| MangeurDeCardan vs Heihachi | 6–8 | 42.86% |
| MangeurDeCardan vs Lars | 4–9 | 30.77% |
| MangeurDeCardan vs Feng | 8–4 | 66.67% |
| MangeurDeCardan vs Claudio | 1–10 | 9.09% |
| MangeurDeCardan vs Nina | 3–8 | 27.27% |
| MangeurDeCardan vs Jack-8 | 3–7 | 30.00% |
| MangeurDeCardan vs Eddy | 6–4 | 60.00% |
| MangeurDeCardan vs Xiaoyu | 2–7 | 22.22% |
| MangeurDeCardan vs Kuma | 4–5 | 44.44% |
| MangeurDeCardan vs Clive | 3–5 | 37.50% |
| MangeurDeCardan vs Leo | 0–4 | 0.00% |
| MangeurDeCardan vs Zafina | 1–3 | 25.00% |
| MangeurDeCardan vs Leroy | 0–4 | 0.00% |
| MangeurDeCardan vs Shaheen | 0–3 | 0.00% |
| MangeurDeCardan vs Raven | 2–1 | 66.67% |
| MangeurDeCardan vs Panda | 1–1 | 50.00% |
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.