| Maclunkey vs Kazuya | 23–15 | 60.53% |
| Maclunkey vs Heihachi | 13–16 | 44.83% |
| Maclunkey vs Reina | 14–10 | 58.33% |
| Maclunkey vs King | 10–6 | 62.50% |
| Maclunkey vs Jin | 10–6 | 62.50% |
| Maclunkey vs Bryan | 11–5 | 68.75% |
| Maclunkey vs Dragunov | 8–7 | 53.33% |
| Maclunkey vs Law | 10–2 | 83.33% |
| Maclunkey vs Steve | 8–4 | 66.67% |
| Maclunkey vs Eddy | 4–8 | 33.33% |
| Maclunkey vs Nina | 6–4 | 60.00% |
| Maclunkey vs Leroy | 8–2 | 80.00% |
| Maclunkey vs Victor | 6–4 | 60.00% |
| Maclunkey vs Feng | 6–3 | 66.67% |
| Maclunkey vs Devil Jin | 3–5 | 37.50% |
| Maclunkey vs Lars | 2–6 | 25.00% |
| Maclunkey vs Paul | 6–1 | 85.71% |
| Maclunkey vs Yoshimitsu | 6–1 | 85.71% |
| Maclunkey vs Hwoarang | 4–3 | 57.14% |
| Maclunkey vs Asuka | 6–1 | 85.71% |
| Maclunkey vs Lili | 4–3 | 57.14% |
| Maclunkey vs Leo | 6–1 | 85.71% |
| Maclunkey vs Jun | 6–1 | 85.71% |
| Maclunkey vs Raven | 3–4 | 42.86% |
| Maclunkey vs Claudio | 3–2 | 60.00% |
| Maclunkey vs Shaheen | 2–3 | 40.00% |
| Maclunkey vs Jack-8 | 3–1 | 75.00% |
| Maclunkey vs Lee | 4–0 | 100.00% |
| Maclunkey vs Zafina | 1–3 | 25.00% |
| Maclunkey vs Panda | 3–0 | 100.00% |
| Maclunkey vs Azucena | 1–2 | 33.33% |
| Maclunkey vs Xiaoyu | 2–0 | 100.00% |
| Maclunkey vs Alisa | 2–0 | 100.00% |
| Maclunkey vs Kuma | 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.