| milkblade vs Kazuya | 9–25 | 26.47% |
| milkblade vs King | 7–26 | 21.21% |
| milkblade vs Reina | 19–12 | 61.29% |
| milkblade vs Steve | 10–16 | 38.46% |
| milkblade vs Heihachi | 6–20 | 23.08% |
| milkblade vs Lee | 7–18 | 28.00% |
| milkblade vs Bryan | 7–16 | 30.43% |
| milkblade vs Jin | 3–19 | 13.64% |
| milkblade vs Alisa | 7–14 | 33.33% |
| milkblade vs Yoshimitsu | 5–13 | 27.78% |
| milkblade vs Azucena | 6–12 | 33.33% |
| milkblade vs Victor | 6–10 | 37.50% |
| milkblade vs Hwoarang | 5–10 | 33.33% |
| milkblade vs Nina | 1–14 | 6.67% |
| milkblade vs Law | 6–8 | 42.86% |
| milkblade vs Lili | 4–10 | 28.57% |
| milkblade vs Clive | 9–5 | 64.29% |
| milkblade vs Devil Jin | 5–8 | 38.46% |
| milkblade vs Dragunov | 0–13 | 0.00% |
| milkblade vs Lars | 4–9 | 30.77% |
| milkblade vs Jun | 4–9 | 30.77% |
| milkblade vs Jack-8 | 7–5 | 58.33% |
| milkblade vs Paul | 0–9 | 0.00% |
| milkblade vs Leo | 2–6 | 25.00% |
| milkblade vs Kuma | 4–4 | 50.00% |
| milkblade vs Raven | 2–6 | 25.00% |
| milkblade vs Lidia | 4–4 | 50.00% |
| milkblade vs Xiaoyu | 2–5 | 28.57% |
| milkblade vs Asuka | 4–3 | 57.14% |
| milkblade vs Claudio | 1–6 | 14.29% |
| milkblade vs Eddy | 4–3 | 57.14% |
| milkblade vs Shaheen | 0–6 | 0.00% |
| milkblade vs Leroy | 2–4 | 33.33% |
| milkblade vs Fahkumram | 0–6 | 0.00% |
| milkblade vs Feng | 0–5 | 0.00% |
| milkblade vs Panda | 4–0 | 100.00% |
| milkblade vs Armor King | 0–4 | 0.00% |
| milkblade vs Anna | 0–2 | 0.00% |
| milkblade vs Zafina | 0–1 | 0.00% |
| milkblade vs Miary Zo | 0–1 | 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.