| Ghost_Mig vs King | 10–16 | 38.46% |
| Ghost_Mig vs Jin | 10–13 | 43.48% |
| Ghost_Mig vs Law | 8–14 | 36.36% |
| Ghost_Mig vs Kazuya | 7–14 | 33.33% |
| Ghost_Mig vs Eddy | 3–18 | 14.29% |
| Ghost_Mig vs Reina | 8–10 | 44.44% |
| Ghost_Mig vs Steve | 10–7 | 58.82% |
| Ghost_Mig vs Victor | 7–9 | 43.75% |
| Ghost_Mig vs Jun | 8–7 | 53.33% |
| Ghost_Mig vs Hwoarang | 7–5 | 58.33% |
| Ghost_Mig vs Dragunov | 4–8 | 33.33% |
| Ghost_Mig vs Xiaoyu | 3–6 | 33.33% |
| Ghost_Mig vs Bryan | 5–4 | 55.56% |
| Ghost_Mig vs Lidia | 4–5 | 44.44% |
| Ghost_Mig vs Yoshimitsu | 4–4 | 50.00% |
| Ghost_Mig vs Claudio | 5–3 | 62.50% |
| Ghost_Mig vs Lili | 5–2 | 71.43% |
| Ghost_Mig vs Lars | 4–3 | 57.14% |
| Ghost_Mig vs Alisa | 3–4 | 42.86% |
| Ghost_Mig vs Asuka | 1–5 | 16.67% |
| Ghost_Mig vs Leroy | 1–5 | 16.67% |
| Ghost_Mig vs Azucena | 2–4 | 33.33% |
| Ghost_Mig vs Heihachi | 4–2 | 66.67% |
| Ghost_Mig vs Paul | 4–1 | 80.00% |
| Ghost_Mig vs Jack-8 | 1–2 | 33.33% |
| Ghost_Mig vs Feng | 1–2 | 33.33% |
| Ghost_Mig vs Nina | 0–3 | 0.00% |
| Ghost_Mig vs Kuma | 1–2 | 33.33% |
| Ghost_Mig vs Devil Jin | 0–2 | 0.00% |
| Ghost_Mig vs Lee | 1–1 | 50.00% |
| Ghost_Mig vs Panda | 2–0 | 100.00% |
| Ghost_Mig vs Fahkumram | 2–0 | 100.00% |
| Ghost_Mig vs Armor King | 0–2 | 0.00% |
| Ghost_Mig vs Leo | 0–1 | 0.00% |
| Ghost_Mig vs Anna | 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.