| MilkinBone vs King | 12–25 | 32.43% |
| MilkinBone vs Jin | 17–17 | 50.00% |
| MilkinBone vs Hwoarang | 15–15 | 50.00% |
| MilkinBone vs Steve | 16–14 | 53.33% |
| MilkinBone vs Kazuya | 16–11 | 59.26% |
| MilkinBone vs Lili | 10–12 | 45.45% |
| MilkinBone vs Reina | 12–9 | 57.14% |
| MilkinBone vs Bryan | 6–14 | 30.00% |
| MilkinBone vs Law | 6–12 | 33.33% |
| MilkinBone vs Dragunov | 7–11 | 38.89% |
| MilkinBone vs Victor | 7–11 | 38.89% |
| MilkinBone vs Raven | 6–10 | 37.50% |
| MilkinBone vs Jun | 5–10 | 33.33% |
| MilkinBone vs Azucena | 2–13 | 13.33% |
| MilkinBone vs Eddy | 3–12 | 20.00% |
| MilkinBone vs Lidia | 7–8 | 46.67% |
| MilkinBone vs Heihachi | 7–8 | 46.67% |
| MilkinBone vs Nina | 6–7 | 46.15% |
| MilkinBone vs Devil Jin | 7–5 | 58.33% |
| MilkinBone vs Anna | 6–6 | 50.00% |
| MilkinBone vs Leroy | 1–9 | 10.00% |
| MilkinBone vs Yoshimitsu | 6–3 | 66.67% |
| MilkinBone vs Lee | 2–7 | 22.22% |
| MilkinBone vs Asuka | 1–7 | 12.50% |
| MilkinBone vs Claudio | 2–5 | 28.57% |
| MilkinBone vs Fahkumram | 3–4 | 42.86% |
| MilkinBone vs Shaheen | 2–4 | 33.33% |
| MilkinBone vs Armor King | 2–4 | 33.33% |
| MilkinBone vs Leo | 1–4 | 20.00% |
| MilkinBone vs Lars | 3–2 | 60.00% |
| MilkinBone vs Paul | 1–3 | 25.00% |
| MilkinBone vs Kuma | 1–3 | 25.00% |
| MilkinBone vs Clive | 0–4 | 0.00% |
| MilkinBone vs Miary Zo | 1–3 | 25.00% |
| MilkinBone vs Xiaoyu | 1–2 | 33.33% |
| MilkinBone vs Jack-8 | 1–2 | 33.33% |
| MilkinBone vs Panda | 1–2 | 33.33% |
| MilkinBone vs Alisa | 1–1 | 50.00% |
| MilkinBone vs Zafina | 1–1 | 50.00% |
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.