| MacSlayinEm vs King | 13–5 | 72.22% |
| MacSlayinEm vs Reina | 10–3 | 76.92% |
| MacSlayinEm vs Azucena | 8–5 | 61.54% |
| MacSlayinEm vs Hwoarang | 5–7 | 41.67% |
| MacSlayinEm vs Jin | 9–2 | 81.82% |
| MacSlayinEm vs Lee | 6–4 | 60.00% |
| MacSlayinEm vs Steve | 7–2 | 77.78% |
| MacSlayinEm vs Asuka | 7–2 | 77.78% |
| MacSlayinEm vs Lars | 6–3 | 66.67% |
| MacSlayinEm vs Law | 3–4 | 42.86% |
| MacSlayinEm vs Kazuya | 5–2 | 71.43% |
| MacSlayinEm vs Dragunov | 6–0 | 100.00% |
| MacSlayinEm vs Bryan | 4–1 | 80.00% |
| MacSlayinEm vs Jun | 5–0 | 100.00% |
| MacSlayinEm vs Xiaoyu | 2–2 | 50.00% |
| MacSlayinEm vs Lili | 0–4 | 0.00% |
| MacSlayinEm vs Victor | 4–0 | 100.00% |
| MacSlayinEm vs Jack-8 | 2–1 | 66.67% |
| MacSlayinEm vs Leo | 2–1 | 66.67% |
| MacSlayinEm vs Claudio | 2–1 | 66.67% |
| MacSlayinEm vs Kuma | 2–1 | 66.67% |
| MacSlayinEm vs Panda | 2–1 | 66.67% |
| MacSlayinEm vs Zafina | 0–3 | 0.00% |
| MacSlayinEm vs Leroy | 2–1 | 66.67% |
| MacSlayinEm vs Raven | 1–2 | 33.33% |
| MacSlayinEm vs Clive | 2–1 | 66.67% |
| MacSlayinEm vs Yoshimitsu | 2–0 | 100.00% |
| MacSlayinEm vs Devil Jin | 2–0 | 100.00% |
| MacSlayinEm vs Nina | 2–0 | 100.00% |
| MacSlayinEm vs Lidia | 2–0 | 100.00% |
| MacSlayinEm vs Heihachi | 2–0 | 100.00% |
| MacSlayinEm vs Paul | 1–0 | 100.00% |
| MacSlayinEm vs Eddy | 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.