| miyra vs King | 32–24 | 57.14% |
| miyra vs Lidia | 31–22 | 58.49% |
| miyra vs Bryan | 18–24 | 42.86% |
| miyra vs Dragunov | 20–20 | 50.00% |
| miyra vs Jin | 11–24 | 31.43% |
| miyra vs Steve | 18–17 | 51.43% |
| miyra vs Kazuya | 10–18 | 35.71% |
| miyra vs Law | 12–15 | 44.44% |
| miyra vs Asuka | 15–8 | 65.22% |
| miyra vs Devil Jin | 13–9 | 59.09% |
| miyra vs Yoshimitsu | 4–16 | 20.00% |
| miyra vs Feng | 10–10 | 50.00% |
| miyra vs Paul | 3–14 | 17.65% |
| miyra vs Reina | 9–8 | 52.94% |
| miyra vs Lili | 6–10 | 37.50% |
| miyra vs Lars | 7–9 | 43.75% |
| miyra vs Azucena | 7–7 | 50.00% |
| miyra vs Jun | 5–8 | 38.46% |
| miyra vs Victor | 6–7 | 46.15% |
| miyra vs Raven | 5–8 | 38.46% |
| miyra vs Kuma | 3–9 | 25.00% |
| miyra vs Heihachi | 3–9 | 25.00% |
| miyra vs Hwoarang | 3–7 | 30.00% |
| miyra vs Leroy | 5–5 | 50.00% |
| miyra vs Armor King | 2–8 | 20.00% |
| miyra vs Xiaoyu | 3–6 | 33.33% |
| miyra vs Clive | 1–6 | 14.29% |
| miyra vs Nina | 2–4 | 33.33% |
| miyra vs Fahkumram | 5–1 | 83.33% |
| miyra vs Alisa | 1–4 | 20.00% |
| miyra vs Shaheen | 3–2 | 60.00% |
| miyra vs Eddy | 4–1 | 80.00% |
| miyra vs Miary Zo | 1–4 | 20.00% |
| miyra vs Claudio | 2–1 | 66.67% |
| miyra vs Anna | 1–2 | 33.33% |
| miyra vs Leo | 0–2 | 0.00% |
| miyra vs Lee | 2–0 | 100.00% |
| miyra vs Jack-8 | 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.