| MsMiyoko vs Steve | 29–28 | 50.88% |
| MsMiyoko vs King | 24–30 | 44.44% |
| MsMiyoko vs Hwoarang | 28–20 | 58.33% |
| MsMiyoko vs Bryan | 28–15 | 65.12% |
| MsMiyoko vs Law | 21–19 | 52.50% |
| MsMiyoko vs Jin | 19–21 | 47.50% |
| MsMiyoko vs Jun | 21–15–1 | 58.33% |
| MsMiyoko vs Reina | 17–20 | 45.95% |
| MsMiyoko vs Azucena | 16–20 | 44.44% |
| MsMiyoko vs Dragunov | 17–17 | 50.00% |
| MsMiyoko vs Kazuya | 13–19 | 40.62% |
| MsMiyoko vs Lili | 17–13 | 56.67% |
| MsMiyoko vs Eddy | 7–19 | 26.92% |
| MsMiyoko vs Leroy | 15–9 | 62.50% |
| MsMiyoko vs Victor | 8–15 | 34.78% |
| MsMiyoko vs Devil Jin | 9–12 | 42.86% |
| MsMiyoko vs Yoshimitsu | 12–8 | 60.00% |
| MsMiyoko vs Nina | 6–13 | 31.58% |
| MsMiyoko vs Lee | 11–8 | 57.89% |
| MsMiyoko vs Lidia | 10–9 | 52.63% |
| MsMiyoko vs Fahkumram | 13–6 | 68.42% |
| MsMiyoko vs Asuka | 12–6 | 66.67% |
| MsMiyoko vs Paul | 12–5 | 70.59% |
| MsMiyoko vs Leo | 8–9 | 47.06% |
| MsMiyoko vs Heihachi | 7–9 | 43.75% |
| MsMiyoko vs Xiaoyu | 8–4 | 66.67% |
| MsMiyoko vs Lars | 7–5 | 58.33% |
| MsMiyoko vs Raven | 7–5 | 58.33% |
| MsMiyoko vs Alisa | 5–5 | 50.00% |
| MsMiyoko vs Shaheen | 7–3 | 70.00% |
| MsMiyoko vs Armor King | 7–2 | 77.78% |
| MsMiyoko vs Claudio | 3–5 | 37.50% |
| MsMiyoko vs Zafina | 6–2 | 75.00% |
| MsMiyoko vs Jack-8 | 5–2 | 71.43% |
| MsMiyoko vs Feng | 4–3 | 57.14% |
| MsMiyoko vs Kuma | 0–5 | 0.00% |
| MsMiyoko vs Anna | 1–2 | 33.33% |
| MsMiyoko vs Clive | 1–1 | 50.00% |
| MsMiyoko vs Panda | 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.