| Grim vs Steve | 27–30 | 47.37% |
| Grim vs Reina | 37–20 | 64.91% |
| Grim vs King | 23–33 | 41.07% |
| Grim vs Kazuya | 16–35 | 31.37% |
| Grim vs Bryan | 15–23 | 39.47% |
| Grim vs Jin | 13–19 | 40.62% |
| Grim vs Lili | 9–22 | 29.03% |
| Grim vs Azucena | 13–18 | 41.94% |
| Grim vs Hwoarang | 8–20 | 28.57% |
| Grim vs Asuka | 14–14 | 50.00% |
| Grim vs Dragunov | 8–20 | 28.57% |
| Grim vs Heihachi | 9–19 | 32.14% |
| Grim vs Law | 10–14 | 41.67% |
| Grim vs Yoshimitsu | 8–16 | 33.33% |
| Grim vs Paul | 4–16 | 20.00% |
| Grim vs Claudio | 8–12 | 40.00% |
| Grim vs Lee | 9–11 | 45.00% |
| Grim vs Nina | 6–12 | 33.33% |
| Grim vs Armor King | 4–14 | 22.22% |
| Grim vs Xiaoyu | 2–14 | 12.50% |
| Grim vs Eddy | 5–11 | 31.25% |
| Grim vs Clive | 7–8 | 46.67% |
| Grim vs Lidia | 6–8 | 42.86% |
| Grim vs Shaheen | 4–9 | 30.77% |
| Grim vs Zafina | 6–7 | 46.15% |
| Grim vs Victor | 5–8 | 38.46% |
| Grim vs Miary Zo | 7–6 | 53.85% |
| Grim vs Devil Jin | 1–11 | 8.33% |
| Grim vs Fahkumram | 5–6 | 45.45% |
| Grim vs Jun | 8–2 | 80.00% |
| Grim vs Jack-8 | 3–6 | 33.33% |
| Grim vs Leo | 4–5 | 44.44% |
| Grim vs Alisa | 3–4 | 42.86% |
| Grim vs Lars | 3–3 | 50.00% |
| Grim vs Leroy | 4–2 | 66.67% |
| Grim vs Kuma | 0–5 | 0.00% |
| Grim vs Feng | 2–2 | 50.00% |
| Grim vs Raven | 0–3 | 0.00% |
| Grim vs Panda | 0–1 | 0.00% |
| Grim vs Anna | 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.