| Milka vs Jin | 46–37 | 55.42% |
| Milka vs King | 27–36 | 42.86% |
| Milka vs Hwoarang | 30–26 | 53.57% |
| Milka vs Kazuya | 27–20 | 57.45% |
| Milka vs Paul | 25–21 | 54.35% |
| Milka vs Yoshimitsu | 16–28 | 36.36% |
| Milka vs Reina | 26–18 | 59.09% |
| Milka vs Lili | 24–18 | 57.14% |
| Milka vs Lee | 30–12 | 71.43% |
| Milka vs Bryan | 22–18 | 55.00% |
| Milka vs Steve | 21–14 | 60.00% |
| Milka vs Feng | 17–18 | 48.57% |
| Milka vs Law | 17–17 | 50.00% |
| Milka vs Lars | 22–11 | 66.67% |
| Milka vs Dragunov | 7–21 | 25.00% |
| Milka vs Raven | 11–17 | 39.29% |
| Milka vs Devil Jin | 18–9 | 66.67% |
| Milka vs Alisa | 16–8 | 66.67% |
| Milka vs Nina | 13–10 | 56.52% |
| Milka vs Xiaoyu | 11–11 | 50.00% |
| Milka vs Azucena | 10–7 | 58.82% |
| Milka vs Claudio | 11–5 | 68.75% |
| Milka vs Victor | 6–10 | 37.50% |
| Milka vs Jack-8 | 9–6 | 60.00% |
| Milka vs Shaheen | 8–7 | 53.33% |
| Milka vs Jun | 6–9 | 40.00% |
| Milka vs Asuka | 8–5 | 61.54% |
| Milka vs Leo | 7–4 | 63.64% |
| Milka vs Kuma | 6–5 | 54.55% |
| Milka vs Leroy | 4–7 | 36.36% |
| Milka vs Zafina | 5–5 | 50.00% |
| Milka vs Eddy | 6–2 | 75.00% |
| Milka vs Panda | 2–5 | 28.57% |
| Milka vs Heihachi | 4–1 | 80.00% |
| Milka vs Lidia | 1–2 | 33.33% |
| Milka vs Armor King | 1–2 | 33.33% |
| Milka vs Miary Zo | 2–1 | 66.67% |
| Milka 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.