| Grims vs King | 33–35 | 48.53% |
| Grims vs Reina | 18–29 | 38.30% |
| Grims vs Jin | 14–31 | 31.11% |
| Grims vs Steve | 20–21 | 48.78% |
| Grims vs Hwoarang | 12–22 | 35.29% |
| Grims vs Law | 16–17 | 48.48% |
| Grims vs Bryan | 18–11 | 62.07% |
| Grims vs Asuka | 12–16 | 42.86% |
| Grims vs Jun | 14–12 | 53.85% |
| Grims vs Azucena | 15–11 | 57.69% |
| Grims vs Nina | 6–18 | 25.00% |
| Grims vs Fahkumram | 11–12 | 47.83% |
| Grims vs Victor | 12–9 | 57.14% |
| Grims vs Yoshimitsu | 11–7 | 61.11% |
| Grims vs Alisa | 9–8 | 52.94% |
| Grims vs Leroy | 8–8 | 50.00% |
| Grims vs Dragunov | 8–7 | 53.33% |
| Grims vs Lars | 4–11 | 26.67% |
| Grims vs Lili | 7–7 | 50.00% |
| Grims vs Raven | 6–8 | 42.86% |
| Grims vs Paul | 4–9 | 30.77% |
| Grims vs Xiaoyu | 3–10 | 23.08% |
| Grims vs Kazuya | 4–9 | 30.77% |
| Grims vs Claudio | 4–8 | 33.33% |
| Grims vs Eddy | 8–4 | 66.67% |
| Grims vs Feng | 8–3 | 72.73% |
| Grims vs Lee | 9–2 | 81.82% |
| Grims vs Devil Jin | 8–2 | 80.00% |
| Grims vs Lidia | 6–2 | 75.00% |
| Grims vs Heihachi | 3–5 | 37.50% |
| Grims vs Clive | 7–0 | 100.00% |
| Grims vs Shaheen | 6–0 | 100.00% |
| Grims vs Leo | 4–1 | 80.00% |
| Grims vs Panda | 1–3 | 25.00% |
| Grims vs Jack-8 | 2–1 | 66.67% |
| Grims vs Zafina | 1–2 | 33.33% |
| Grims vs Kuma | 2–0 | 100.00% |
| Grims vs Anna | 2–0 | 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.