| MilanCrafter100 vs Jin | 9–6 | 60.00% |
| MilanCrafter100 vs Anna | 10–4 | 71.43% |
| MilanCrafter100 vs King | 5–6 | 45.45% |
| MilanCrafter100 vs Lili | 5–6 | 45.45% |
| MilanCrafter100 vs Reina | 7–3 | 70.00% |
| MilanCrafter100 vs Hwoarang | 6–1 | 85.71% |
| MilanCrafter100 vs Lars | 1–6 | 14.29% |
| MilanCrafter100 vs Eddy | 2–4 | 33.33% |
| MilanCrafter100 vs Heihachi | 4–2 | 66.67% |
| MilanCrafter100 vs Law | 3–2 | 60.00% |
| MilanCrafter100 vs Steve | 3–2 | 60.00% |
| MilanCrafter100 vs Azucena | 3–2 | 60.00% |
| MilanCrafter100 vs Victor | 4–1 | 80.00% |
| MilanCrafter100 vs Bryan | 3–1 | 75.00% |
| MilanCrafter100 vs Kazuya | 2–2 | 50.00% |
| MilanCrafter100 vs Dragunov | 3–1 | 75.00% |
| MilanCrafter100 vs Lee | 4–0 | 100.00% |
| MilanCrafter100 vs Armor King | 2–2 | 50.00% |
| MilanCrafter100 vs Xiaoyu | 1–2 | 33.33% |
| MilanCrafter100 vs Jack-8 | 2–1 | 66.67% |
| MilanCrafter100 vs Asuka | 0–3 | 0.00% |
| MilanCrafter100 vs Devil Jin | 1–2 | 33.33% |
| MilanCrafter100 vs Leo | 2–1 | 66.67% |
| MilanCrafter100 vs Claudio | 2–1 | 66.67% |
| MilanCrafter100 vs Jun | 3–0 | 100.00% |
| MilanCrafter100 vs Paul | 1–1 | 50.00% |
| MilanCrafter100 vs Clive | 2–0 | 100.00% |
| MilanCrafter100 vs Feng | 0–1 | 0.00% |
| MilanCrafter100 vs Alisa | 0–1 | 0.00% |
| MilanCrafter100 vs Nina | 0–1 | 0.00% |
| MilanCrafter100 vs Lidia | 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.