| Migianto vs Steve | 55–58 | 48.67% |
| Migianto vs Kazuya | 36–56 | 39.13% |
| Migianto vs Dragunov | 28–62 | 31.11% |
| Migianto vs Armor King | 35–55 | 38.89% |
| Migianto vs Jin | 34–47 | 41.98% |
| Migianto vs King | 32–47 | 40.51% |
| Migianto vs Reina | 27–34 | 44.26% |
| Migianto vs Bryan | 22–27 | 44.90% |
| Migianto vs Law | 19–27 | 41.30% |
| Migianto vs Lili | 6–32 | 15.79% |
| Migianto vs Yoshimitsu | 12–23 | 34.29% |
| Migianto vs Alisa | 16–16 | 50.00% |
| Migianto vs Hwoarang | 12–17 | 41.38% |
| Migianto vs Devil Jin | 6–22 | 21.43% |
| Migianto vs Claudio | 13–12 | 52.00% |
| Migianto vs Victor | 11–13 | 45.83% |
| Migianto vs Asuka | 8–15 | 34.78% |
| Migianto vs Leo | 4–19 | 17.39% |
| Migianto vs Lars | 7–13 | 35.00% |
| Migianto vs Azucena | 11–9 | 55.00% |
| Migianto vs Eddy | 8–11 | 42.11% |
| Migianto vs Miary Zo | 7–12 | 36.84% |
| Migianto vs Heihachi | 9–9 | 50.00% |
| Migianto vs Nina | 5–12 | 29.41% |
| Migianto vs Jun | 6–11 | 35.29% |
| Migianto vs Clive | 6–11 | 35.29% |
| Migianto vs Anna | 3–10 | 23.08% |
| Migianto vs Paul | 1–11 | 8.33% |
| Migianto vs Kuma | 5–6 | 45.45% |
| Migianto vs Fahkumram | 7–4 | 63.64% |
| Migianto vs Xiaoyu | 3–7 | 30.00% |
| Migianto vs Lee | 2–8 | 20.00% |
| Migianto vs Leroy | 3–5 | 37.50% |
| Migianto vs Raven | 3–5 | 37.50% |
| Migianto vs Lidia | 1–6 | 14.29% |
| Migianto vs Feng | 1–5 | 16.67% |
| Migianto vs Shaheen | 2–3 | 40.00% |
| Migianto vs Panda | 0–5 | 0.00% |
| Migianto vs Jack-8 | 3–0 | 100.00% |
| Migianto vs Zafina | 0–2 | 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.