| mkmmm vs Armor King | 14–18 | 43.75% |
| mkmmm vs Hwoarang | 17–14 | 54.84% |
| mkmmm vs Bryan | 20–10 | 66.67% |
| mkmmm vs Lili | 15–13 | 53.57% |
| mkmmm vs Paul | 15–12 | 55.56% |
| mkmmm vs Fahkumram | 15–12 | 55.56% |
| mkmmm vs Kazuya | 11–14 | 44.00% |
| mkmmm vs Yoshimitsu | 17–7 | 70.83% |
| mkmmm vs Law | 14–9 | 60.87% |
| mkmmm vs Jin | 12–7 | 63.16% |
| mkmmm vs Dragunov | 7–12 | 36.84% |
| mkmmm vs King | 8–9 | 47.06% |
| mkmmm vs Asuka | 8–7 | 53.33% |
| mkmmm vs Alisa | 9–4 | 69.23% |
| mkmmm vs Nina | 6–7 | 46.15% |
| mkmmm vs Eddy | 3–10 | 23.08% |
| mkmmm vs Xiaoyu | 6–5 | 54.55% |
| mkmmm vs Anna | 6–5 | 54.55% |
| mkmmm vs Steve | 6–4 | 60.00% |
| mkmmm vs Heihachi | 4–6 | 40.00% |
| mkmmm vs Claudio | 4–4 | 50.00% |
| mkmmm vs Jun | 7–1 | 87.50% |
| mkmmm vs Jack-8 | 3–4 | 42.86% |
| mkmmm vs Azucena | 1–6 | 14.29% |
| mkmmm vs Devil Jin | 4–2 | 66.67% |
| mkmmm vs Leo | 3–3 | 50.00% |
| mkmmm vs Reina | 4–2 | 66.67% |
| mkmmm vs Victor | 4–2 | 66.67% |
| mkmmm vs Lidia | 4–2 | 66.67% |
| mkmmm vs Lars | 2–3 | 40.00% |
| mkmmm vs Clive | 2–3 | 40.00% |
| mkmmm vs Lee | 3–0 | 100.00% |
| mkmmm vs Kuma | 2–0 | 100.00% |
| mkmmm vs Zafina | 2–0 | 100.00% |
| mkmmm vs Leroy | 2–0 | 100.00% |
| mkmmm vs Raven | 2–0 | 100.00% |
| mkmmm vs Feng | 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.