| mink vs King | 44–24 | 64.71% |
| mink vs Steve | 41–26 | 61.19% |
| mink vs Kazuya | 28–31 | 47.46% |
| mink vs Reina | 27–20 | 57.45% |
| mink vs Jin | 17–26 | 39.53% |
| mink vs Law | 16–22 | 42.11% |
| mink vs Lili | 20–17 | 54.05% |
| mink vs Bryan | 14–17 | 45.16% |
| mink vs Hwoarang | 9–20 | 31.03% |
| mink vs Yoshimitsu | 10–14 | 41.67% |
| mink vs Azucena | 10–14 | 41.67% |
| mink vs Anna | 12–12 | 50.00% |
| mink vs Xiaoyu | 10–12 | 45.45% |
| mink vs Dragunov | 6–15 | 28.57% |
| mink vs Lars | 8–10 | 44.44% |
| mink vs Lee | 8–10 | 44.44% |
| mink vs Heihachi | 9–9 | 50.00% |
| mink vs Jun | 11–6 | 64.71% |
| mink vs Clive | 6–11 | 35.29% |
| mink vs Jack-8 | 11–5 | 68.75% |
| mink vs Asuka | 9–7 | 56.25% |
| mink vs Devil Jin | 11–5 | 68.75% |
| mink vs Paul | 7–8 | 46.67% |
| mink vs Eddy | 2–13 | 13.33% |
| mink vs Lidia | 6–8 | 42.86% |
| mink vs Nina | 7–6 | 53.85% |
| mink vs Leroy | 9–4 | 69.23% |
| mink vs Victor | 9–4 | 69.23% |
| mink vs Feng | 6–6 | 50.00% |
| mink vs Fahkumram | 6–5 | 54.55% |
| mink vs Leo | 2–6 | 25.00% |
| mink vs Panda | 5–3 | 62.50% |
| mink vs Raven | 2–6 | 25.00% |
| mink vs Claudio | 2–4 | 33.33% |
| mink vs Zafina | 1–5 | 16.67% |
| mink vs Alisa | 2–3 | 40.00% |
| mink vs Armor King | 1–2 | 33.33% |
| mink vs Shaheen | 1–1 | 50.00% |
| mink vs Kuma | 1–0 | 100.00% |
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.