| MilkyMilkShakes vs Kazuya | 32–27 | 54.24% |
| MilkyMilkShakes vs King | 22–31 | 41.51% |
| MilkyMilkShakes vs Reina | 23–23 | 50.00% |
| MilkyMilkShakes vs Heihachi | 7–26 | 21.21% |
| MilkyMilkShakes vs Bryan | 11–20 | 35.48% |
| MilkyMilkShakes vs Lidia | 12–15 | 44.44% |
| MilkyMilkShakes vs Lili | 5–21 | 19.23% |
| MilkyMilkShakes vs Jin | 8–14 | 36.36% |
| MilkyMilkShakes vs Steve | 10–12 | 45.45% |
| MilkyMilkShakes vs Dragunov | 10–12 | 45.45% |
| MilkyMilkShakes vs Lee | 7–14 | 33.33% |
| MilkyMilkShakes vs Paul | 7–13 | 35.00% |
| MilkyMilkShakes vs Hwoarang | 10–10 | 50.00% |
| MilkyMilkShakes vs Victor | 10–9 | 52.63% |
| MilkyMilkShakes vs Devil Jin | 8–10 | 44.44% |
| MilkyMilkShakes vs Jun | 8–10 | 44.44% |
| MilkyMilkShakes vs Nina | 12–5 | 70.59% |
| MilkyMilkShakes vs Yoshimitsu | 8–8 | 50.00% |
| MilkyMilkShakes vs Asuka | 4–12 | 25.00% |
| MilkyMilkShakes vs Lars | 6–9 | 40.00% |
| MilkyMilkShakes vs Leo | 4–9 | 30.77% |
| MilkyMilkShakes vs Azucena | 6–7 | 46.15% |
| MilkyMilkShakes vs Law | 2–10 | 16.67% |
| MilkyMilkShakes vs Xiaoyu | 4–8 | 33.33% |
| MilkyMilkShakes vs Alisa | 7–5 | 58.33% |
| MilkyMilkShakes vs Claudio | 6–6 | 50.00% |
| MilkyMilkShakes vs Kuma | 9–2 | 81.82% |
| MilkyMilkShakes vs Jack-8 | 4–4 | 50.00% |
| MilkyMilkShakes vs Leroy | 5–2 | 71.43% |
| MilkyMilkShakes vs Feng | 4–2 | 66.67% |
| MilkyMilkShakes vs Raven | 4–2 | 66.67% |
| MilkyMilkShakes vs Eddy | 2–4 | 33.33% |
| MilkyMilkShakes vs Zafina | 3–2 | 60.00% |
| MilkyMilkShakes vs Shaheen | 1–2 | 33.33% |
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.