| Grimm vs Clive | 36–53 | 40.45% |
| Grimm vs Jin | 31–14 | 68.89% |
| Grimm vs Kazuya | 27–16 | 62.79% |
| Grimm vs King | 27–12 | 69.23% |
| Grimm vs Reina | 21–14 | 60.00% |
| Grimm vs Bryan | 18–15 | 54.55% |
| Grimm vs Law | 18–13 | 58.06% |
| Grimm vs Heihachi | 15–15 | 50.00% |
| Grimm vs Hwoarang | 17–7 | 70.83% |
| Grimm vs Steve | 15–6 | 71.43% |
| Grimm vs Asuka | 16–4 | 80.00% |
| Grimm vs Lars | 14–6 | 70.00% |
| Grimm vs Xiaoyu | 9–10 | 47.37% |
| Grimm vs Lili | 11–7 | 61.11% |
| Grimm vs Leroy | 11–7 | 61.11% |
| Grimm vs Jun | 13–4 | 76.47% |
| Grimm vs Lidia | 12–5 | 70.59% |
| Grimm vs Yoshimitsu | 6–10 | 37.50% |
| Grimm vs Lee | 11–3 | 78.57% |
| Grimm vs Paul | 5–8 | 38.46% |
| Grimm vs Feng | 8–5 | 61.54% |
| Grimm vs Azucena | 6–7 | 46.15% |
| Grimm vs Dragunov | 3–9 | 25.00% |
| Grimm vs Victor | 10–2 | 83.33% |
| Grimm vs Eddy | 7–5 | 58.33% |
| Grimm vs Jack-8 | 5–5 | 50.00% |
| Grimm vs Alisa | 6–4 | 60.00% |
| Grimm vs Nina | 5–5 | 50.00% |
| Grimm vs Devil Jin | 3–5 | 37.50% |
| Grimm vs Raven | 3–5 | 37.50% |
| Grimm vs Leo | 5–1 | 83.33% |
| Grimm vs Shaheen | 5–1 | 83.33% |
| Grimm vs Claudio | 3–1 | 75.00% |
| Grimm vs Kuma | 2–2 | 50.00% |
| Grimm vs Zafina | 3–0 | 100.00% |
| Grimm vs Panda | 1–1 | 50.00% |
| Grimm vs Armor King | 2–0 | 100.00% |
| Grimm vs Fahkumram | 0–1 | 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.