| Earnmilk vs Steve | 40–37 | 51.95% |
| Earnmilk vs Jin | 32–37 | 46.38% |
| Earnmilk vs Kazuya | 20–33 | 37.74% |
| Earnmilk vs Bryan | 23–29 | 44.23% |
| Earnmilk vs Dragunov | 9–31 | 22.50% |
| Earnmilk vs Reina | 15–20 | 42.86% |
| Earnmilk vs King | 16–17 | 48.48% |
| Earnmilk vs Hwoarang | 8–21 | 27.59% |
| Earnmilk vs Law | 10–18 | 35.71% |
| Earnmilk vs Clive | 12–16 | 42.86% |
| Earnmilk vs Yoshimitsu | 14–13 | 51.85% |
| Earnmilk vs Lili | 7–17 | 29.17% |
| Earnmilk vs Paul | 5–17 | 22.73% |
| Earnmilk vs Lars | 17–5 | 77.27% |
| Earnmilk vs Victor | 11–9 | 55.00% |
| Earnmilk vs Asuka | 6–9 | 40.00% |
| Earnmilk vs Alisa | 6–8 | 42.86% |
| Earnmilk vs Claudio | 6–8 | 42.86% |
| Earnmilk vs Nina | 6–8 | 42.86% |
| Earnmilk vs Azucena | 5–9 | 35.71% |
| Earnmilk vs Lee | 5–8 | 38.46% |
| Earnmilk vs Jun | 7–6 | 53.85% |
| Earnmilk vs Heihachi | 5–8 | 38.46% |
| Earnmilk vs Fahkumram | 5–8 | 38.46% |
| Earnmilk vs Xiaoyu | 1–10 | 9.09% |
| Earnmilk vs Devil Jin | 4–7 | 36.36% |
| Earnmilk vs Leroy | 4–7 | 36.36% |
| Earnmilk vs Anna | 8–2 | 80.00% |
| Earnmilk vs Leo | 6–3 | 66.67% |
| Earnmilk vs Lidia | 4–5 | 44.44% |
| Earnmilk vs Eddy | 2–6 | 25.00% |
| Earnmilk vs Kuma | 2–5 | 28.57% |
| Earnmilk vs Raven | 3–2 | 60.00% |
| Earnmilk vs Feng | 0–4 | 0.00% |
| Earnmilk vs Miary Zo | 1–3 | 25.00% |
| Earnmilk 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.