| A PMP NMD SLCBK vs Reina | 18–3 | 85.71% |
| A PMP NMD SLCBK vs Lidia | 12–8 | 60.00% |
| A PMP NMD SLCBK vs King | 14–4 | 77.78% |
| A PMP NMD SLCBK vs Dragunov | 11–7 | 61.11% |
| A PMP NMD SLCBK vs Victor | 10–7 | 58.82% |
| A PMP NMD SLCBK vs Jin | 12–3 | 80.00% |
| A PMP NMD SLCBK vs Lili | 13–2 | 86.67% |
| A PMP NMD SLCBK vs Yoshimitsu | 6–8 | 42.86% |
| A PMP NMD SLCBK vs Hwoarang | 11–3 | 78.57% |
| A PMP NMD SLCBK vs Kazuya | 8–3 | 72.73% |
| A PMP NMD SLCBK vs Law | 10–0 | 100.00% |
| A PMP NMD SLCBK vs Shaheen | 6–4 | 60.00% |
| A PMP NMD SLCBK vs Jun | 7–3 | 70.00% |
| A PMP NMD SLCBK vs Bryan | 8–1 | 88.89% |
| A PMP NMD SLCBK vs Steve | 5–3 | 62.50% |
| A PMP NMD SLCBK vs Asuka | 4–3 | 57.14% |
| A PMP NMD SLCBK vs Claudio | 6–1 | 85.71% |
| A PMP NMD SLCBK vs Azucena | 6–1 | 85.71% |
| A PMP NMD SLCBK vs Alisa | 4–2 | 66.67% |
| A PMP NMD SLCBK vs Xiaoyu | 1–4 | 20.00% |
| A PMP NMD SLCBK vs Kuma | 4–1 | 80.00% |
| A PMP NMD SLCBK vs Leo | 4–0 | 100.00% |
| A PMP NMD SLCBK vs Devil Jin | 1–2 | 33.33% |
| A PMP NMD SLCBK vs Feng | 2–1 | 66.67% |
| A PMP NMD SLCBK vs Leroy | 2–1 | 66.67% |
| A PMP NMD SLCBK vs Lars | 2–0 | 100.00% |
| A PMP NMD SLCBK vs Nina | 0–2 | 0.00% |
| A PMP NMD SLCBK vs Lee | 2–0 | 100.00% |
| A PMP NMD SLCBK vs Zafina | 0–2 | 0.00% |
| A PMP NMD SLCBK vs Eddy | 0–2 | 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.