| GrinkFamily vs Kazuya | 59–44 | 57.28% |
| GrinkFamily vs Bryan | 43–56 | 43.43% |
| GrinkFamily vs King | 49–39 | 55.68% |
| GrinkFamily vs Reina | 37–40 | 48.05% |
| GrinkFamily vs Jin | 44–32 | 57.89% |
| GrinkFamily vs Hwoarang | 40–24 | 62.50% |
| GrinkFamily vs Law | 29–31 | 48.33% |
| GrinkFamily vs Dragunov | 33–26 | 55.93% |
| GrinkFamily vs Lili | 22–31 | 41.51% |
| GrinkFamily vs Devil Jin | 20–31 | 39.22% |
| GrinkFamily vs Paul | 28–20 | 58.33% |
| GrinkFamily vs Steve | 24–21 | 53.33% |
| GrinkFamily vs Feng | 27–11 | 71.05% |
| GrinkFamily vs Eddy | 18–17 | 51.43% |
| GrinkFamily vs Yoshimitsu | 13–21 | 38.24% |
| GrinkFamily vs Asuka | 15–17 | 46.88% |
| GrinkFamily vs Xiaoyu | 11–18 | 37.93% |
| GrinkFamily vs Lee | 13–16 | 44.83% |
| GrinkFamily vs Jun | 13–15 | 46.43% |
| GrinkFamily vs Victor | 13–15 | 46.43% |
| GrinkFamily vs Alisa | 14–12 | 53.85% |
| GrinkFamily vs Lars | 10–15 | 40.00% |
| GrinkFamily vs Nina | 15–10 | 60.00% |
| GrinkFamily vs Azucena | 15–9 | 62.50% |
| GrinkFamily vs Leo | 13–10 | 56.52% |
| GrinkFamily vs Raven | 9–14 | 39.13% |
| GrinkFamily vs Leroy | 12–7 | 63.16% |
| GrinkFamily vs Kuma | 6–12 | 33.33% |
| GrinkFamily vs Heihachi | 7–10 | 41.18% |
| GrinkFamily vs Jack-8 | 6–10 | 37.50% |
| GrinkFamily vs Zafina | 4–9 | 30.77% |
| GrinkFamily vs Armor King | 9–4 | 69.23% |
| GrinkFamily vs Claudio | 3–9 | 25.00% |
| GrinkFamily vs Shaheen | 6–3 | 66.67% |
| GrinkFamily vs Lidia | 6–3 | 66.67% |
| GrinkFamily vs Anna | 2–6 | 25.00% |
| GrinkFamily vs Panda | 2–3 | 40.00% |
| GrinkFamily vs Fahkumram | 2–3 | 40.00% |
| GrinkFamily vs Clive | 0–2 | 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.