| Miguel vs Jin | 14–39 | 26.42% |
| Miguel vs King | 25–26 | 49.02% |
| Miguel vs Kazuya | 17–24 | 41.46% |
| Miguel vs Dragunov | 18–17 | 51.43% |
| Miguel vs Steve | 12–17 | 41.38% |
| Miguel vs Miary Zo | 9–18 | 33.33% |
| Miguel vs Bryan | 6–16 | 27.27% |
| Miguel vs Heihachi | 11–10 | 52.38% |
| Miguel vs Paul | 13–7 | 65.00% |
| Miguel vs Hwoarang | 9–11 | 45.00% |
| Miguel vs Reina | 9–10 | 47.37% |
| Miguel vs Yoshimitsu | 6–10 | 37.50% |
| Miguel vs Armor King | 7–8 | 46.67% |
| Miguel vs Claudio | 4–10 | 28.57% |
| Miguel vs Jun | 7–6 | 53.85% |
| Miguel vs Lidia | 6–7 | 46.15% |
| Miguel vs Jack-8 | 6–6 | 50.00% |
| Miguel vs Eddy | 2–10 | 16.67% |
| Miguel vs Lili | 4–7 | 36.36% |
| Miguel vs Alisa | 0–10 | 0.00% |
| Miguel vs Azucena | 5–5 | 50.00% |
| Miguel vs Lars | 3–4 | 42.86% |
| Miguel vs Nina | 1–6 | 14.29% |
| Miguel vs Victor | 2–5 | 28.57% |
| Miguel vs Asuka | 2–4 | 33.33% |
| Miguel vs Devil Jin | 3–3 | 50.00% |
| Miguel vs Shaheen | 0–5 | 0.00% |
| Miguel vs Anna | 1–4 | 20.00% |
| Miguel vs Xiaoyu | 2–2 | 50.00% |
| Miguel vs Feng | 2–2 | 50.00% |
| Miguel vs Clive | 1–3 | 25.00% |
| Miguel vs Law | 2–1 | 66.67% |
| Miguel vs Fahkumram | 3–0 | 100.00% |
| Miguel vs Leo | 0–2 | 0.00% |
| Miguel vs Lee | 0–2 | 0.00% |
| Miguel vs Panda | 0–2 | 0.00% |
| Miguel vs Leroy | 1–0 | 100.00% |
| Miguel vs Raven | 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.