| Malindacut vs Lidia | 9–17 | 34.62% |
| Malindacut vs Reina | 12–10 | 54.55% |
| Malindacut vs King | 8–13 | 38.10% |
| Malindacut vs Steve | 3–14 | 17.65% |
| Malindacut vs Law | 2–12 | 14.29% |
| Malindacut vs Hwoarang | 5–8 | 38.46% |
| Malindacut vs Dragunov | 3–9 | 25.00% |
| Malindacut vs Azucena | 4–8 | 33.33% |
| Malindacut vs Eddy | 3–9 | 25.00% |
| Malindacut vs Bryan | 4–7 | 36.36% |
| Malindacut vs Lee | 4–7 | 36.36% |
| Malindacut vs Yoshimitsu | 5–5 | 50.00% |
| Malindacut vs Kazuya | 4–6 | 40.00% |
| Malindacut vs Nina | 2–8 | 20.00% |
| Malindacut vs Victor | 3–7 | 30.00% |
| Malindacut vs Asuka | 2–7 | 22.22% |
| Malindacut vs Lili | 4–5 | 44.44% |
| Malindacut vs Lars | 1–8 | 11.11% |
| Malindacut vs Jin | 3–5 | 37.50% |
| Malindacut vs Claudio | 3–5 | 37.50% |
| Malindacut vs Kuma | 1–7 | 12.50% |
| Malindacut vs Alisa | 5–2 | 71.43% |
| Malindacut vs Paul | 3–3 | 50.00% |
| Malindacut vs Leroy | 3–3 | 50.00% |
| Malindacut vs Leo | 3–2 | 60.00% |
| Malindacut vs Zafina | 2–3 | 40.00% |
| Malindacut vs Jun | 1–4 | 20.00% |
| Malindacut vs Raven | 3–2 | 60.00% |
| Malindacut vs Jack-8 | 2–2 | 50.00% |
| Malindacut vs Feng | 3–1 | 75.00% |
| Malindacut vs Xiaoyu | 2–1 | 66.67% |
| Malindacut vs Shaheen | 1–2 | 33.33% |
| Malindacut vs Panda | 0–2 | 0.00% |
| Malindacut vs Heihachi | 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.