| GRIM vs Hwoarang | 21–47 | 30.88% |
| GRIM vs Armor King | 18–49 | 26.87% |
| GRIM vs King | 20–41 | 32.79% |
| GRIM vs Reina | 20–36 | 35.71% |
| GRIM vs Jin | 23–21 | 52.27% |
| GRIM vs Kazuya | 15–28 | 34.88% |
| GRIM vs Miary Zo | 19–23 | 45.24% |
| GRIM vs Yoshimitsu | 14–21 | 40.00% |
| GRIM vs Bryan | 12–22 | 35.29% |
| GRIM vs Steve | 13–21 | 38.24% |
| GRIM vs Anna | 15–18 | 45.45% |
| GRIM vs Lee | 7–23 | 23.33% |
| GRIM vs Lili | 9–20 | 31.03% |
| GRIM vs Dragunov | 14–14 | 50.00% |
| GRIM vs Jun | 12–14 | 46.15% |
| GRIM vs Eddy | 8–18 | 30.77% |
| GRIM vs Law | 9–16 | 36.00% |
| GRIM vs Xiaoyu | 11–13 | 45.83% |
| GRIM vs Azucena | 7–16 | 30.43% |
| GRIM vs Clive | 8–15 | 34.78% |
| GRIM vs Fahkumram | 8–15 | 34.78% |
| GRIM vs Heihachi | 4–16 | 20.00% |
| GRIM vs Lars | 7–12 | 36.84% |
| GRIM vs Raven | 5–12 | 29.41% |
| GRIM vs Lidia | 7–9 | 43.75% |
| GRIM vs Leo | 2–12 | 14.29% |
| GRIM vs Leroy | 5–9 | 35.71% |
| GRIM vs Nina | 5–8 | 38.46% |
| GRIM vs Asuka | 5–7 | 41.67% |
| GRIM vs Feng | 4–8 | 33.33% |
| GRIM vs Paul | 5–6 | 45.45% |
| GRIM vs Victor | 3–8 | 27.27% |
| GRIM vs Shaheen | 4–6 | 40.00% |
| GRIM vs Kuma | 2–8 | 20.00% |
| GRIM vs Jack-8 | 4–5 | 44.44% |
| GRIM vs Devil Jin | 4–5 | 44.44% |
| GRIM vs Alisa | 2–6 | 25.00% |
| GRIM vs Zafina | 5–3 | 62.50% |
| GRIM vs Panda | 5–1 | 83.33% |
| GRIM vs Claudio | 1–4 | 20.00% |
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.