| MyaKish vs King | 24–18 | 57.14% |
| MyaKish vs Hwoarang | 27–10 | 72.97% |
| MyaKish vs Reina | 18–18 | 50.00% |
| MyaKish vs Bryan | 18–16 | 52.94% |
| MyaKish vs Lili | 21–13 | 61.76% |
| MyaKish vs Steve | 16–16 | 50.00% |
| MyaKish vs Jin | 13–18 | 41.94% |
| MyaKish vs Dragunov | 16–14 | 53.33% |
| MyaKish vs Law | 17–8 | 68.00% |
| MyaKish vs Jun | 16–7 | 69.57% |
| MyaKish vs Kazuya | 12–9 | 57.14% |
| MyaKish vs Heihachi | 10–11 | 47.62% |
| MyaKish vs Paul | 11–9 | 55.00% |
| MyaKish vs Nina | 8–11 | 42.11% |
| MyaKish vs Yoshimitsu | 12–6 | 66.67% |
| MyaKish vs Xiaoyu | 8–7 | 53.33% |
| MyaKish vs Zafina | 6–7 | 46.15% |
| MyaKish vs Anna | 9–4 | 69.23% |
| MyaKish vs Victor | 5–7 | 41.67% |
| MyaKish vs Lidia | 7–5 | 58.33% |
| MyaKish vs Lars | 7–4 | 63.64% |
| MyaKish vs Clive | 5–6 | 45.45% |
| MyaKish vs Asuka | 5–5 | 50.00% |
| MyaKish vs Devil Jin | 5–5 | 50.00% |
| MyaKish vs Lee | 3–7 | 30.00% |
| MyaKish vs Feng | 6–3 | 66.67% |
| MyaKish vs Alisa | 3–5 | 37.50% |
| MyaKish vs Eddy | 5–3 | 62.50% |
| MyaKish vs Claudio | 3–4 | 42.86% |
| MyaKish vs Fahkumram | 6–1 | 85.71% |
| MyaKish vs Kuma | 2–4 | 33.33% |
| MyaKish vs Leo | 3–2 | 60.00% |
| MyaKish vs Leroy | 3–2 | 60.00% |
| MyaKish vs Azucena | 4–1 | 80.00% |
| MyaKish vs Shaheen | 1–2 | 33.33% |
| MyaKish vs Jack-8 | 1–1 | 50.00% |
| MyaKish vs Raven | 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.