| MtotheK vs Steve | 20–19 | 51.28% |
| MtotheK vs Kazuya | 14–19 | 42.42% |
| MtotheK vs Hwoarang | 11–17 | 39.29% |
| MtotheK vs Heihachi | 9–15 | 37.50% |
| MtotheK vs Law | 11–12 | 47.83% |
| MtotheK vs Jin | 9–12 | 42.86% |
| MtotheK vs Azucena | 10–10 | 50.00% |
| MtotheK vs Jack-8 | 11–8 | 57.89% |
| MtotheK vs Dragunov | 16–3 | 84.21% |
| MtotheK vs Eddy | 9–10 | 47.37% |
| MtotheK vs Reina | 10–8 | 55.56% |
| MtotheK vs Victor | 8–9 | 47.06% |
| MtotheK vs Asuka | 8–8 | 50.00% |
| MtotheK vs King | 5–10 | 33.33% |
| MtotheK vs Bryan | 8–7 | 53.33% |
| MtotheK vs Lili | 7–6 | 53.85% |
| MtotheK vs Lidia | 6–6 | 50.00% |
| MtotheK vs Xiaoyu | 5–6 | 45.45% |
| MtotheK vs Lars | 8–3 | 72.73% |
| MtotheK vs Nina | 5–6 | 45.45% |
| MtotheK vs Paul | 5–5 | 50.00% |
| MtotheK vs Alisa | 2–8 | 20.00% |
| MtotheK vs Yoshimitsu | 4–5 | 44.44% |
| MtotheK vs Devil Jin | 3–5 | 37.50% |
| MtotheK vs Claudio | 3–5 | 37.50% |
| MtotheK vs Leroy | 1–6 | 14.29% |
| MtotheK vs Jun | 2–5 | 28.57% |
| MtotheK vs Raven | 1–6 | 14.29% |
| MtotheK vs Feng | 4–0 | 100.00% |
| MtotheK vs Lee | 3–1 | 75.00% |
| MtotheK vs Panda | 2–0 | 100.00% |
| MtotheK vs Armor King | 0–2 | 0.00% |
| MtotheK vs Shaheen | 1–0 | 100.00% |
| MtotheK vs Zafina | 1–0 | 100.00% |
| MtotheK vs Fahkumram | 0–1 | 0.00% |
| MtotheK vs Miary Zo | 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.