| Migo vs Kazuya | 28–32 | 46.67% |
| Migo vs Law | 25–19 | 56.82% |
| Migo vs King | 26–18 | 59.09% |
| Migo vs Bryan | 20–24 | 45.45% |
| Migo vs Jin | 13–30 | 30.23% |
| Migo vs Armor King | 23–18 | 56.10% |
| Migo vs Asuka | 23–15 | 60.53% |
| Migo vs Hwoarang | 12–24 | 33.33% |
| Migo vs Reina | 19–17 | 52.78% |
| Migo vs Miary Zo | 16–19 | 45.71% |
| Migo vs Dragunov | 21–13 | 61.76% |
| Migo vs Fahkumram | 15–18 | 45.45% |
| Migo vs Steve | 14–12 | 53.85% |
| Migo vs Devil Jin | 9–12 | 42.86% |
| Migo vs Claudio | 6–15 | 28.57% |
| Migo vs Eddy | 16–5 | 76.19% |
| Migo vs Lili | 11–9 | 55.00% |
| Migo vs Lars | 7–10 | 41.18% |
| Migo vs Clive | 7–9 | 43.75% |
| Migo vs Feng | 6–8 | 42.86% |
| Migo vs Lee | 5–8 | 38.46% |
| Migo vs Victor | 5–8 | 38.46% |
| Migo vs Heihachi | 7–5 | 58.33% |
| Migo vs Paul | 2–8 | 20.00% |
| Migo vs Leroy | 5–5 | 50.00% |
| Migo vs Azucena | 4–6 | 40.00% |
| Migo vs Anna | 3–7 | 30.00% |
| Migo vs Alisa | 3–6 | 33.33% |
| Migo vs Jun | 6–3 | 66.67% |
| Migo vs Kuma | 6–2 | 75.00% |
| Migo vs Nina | 4–3 | 57.14% |
| Migo vs Yoshimitsu | 3–3 | 50.00% |
| Migo vs Jack-8 | 0–6 | 0.00% |
| Migo vs Xiaoyu | 2–3 | 40.00% |
| Migo vs Leo | 3–1 | 75.00% |
| Migo vs Shaheen | 0–2 | 0.00% |
| Migo vs Panda | 0–2 | 0.00% |
| Migo vs Raven | 1–1 | 50.00% |
| Migo vs Lidia | 0–2 | 0.00% |
| Migo vs Zafina | 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.