| Grimm0083 vs Reina | 25–15 | 62.50% |
| Grimm0083 vs Lili | 22–17 | 56.41% |
| Grimm0083 vs Kazuya | 25–11 | 69.44% |
| Grimm0083 vs King | 22–13 | 62.86% |
| Grimm0083 vs Law | 15–15 | 50.00% |
| Grimm0083 vs Jin | 19–8 | 70.37% |
| Grimm0083 vs Bryan | 14–12 | 53.85% |
| Grimm0083 vs Victor | 18–8 | 69.23% |
| Grimm0083 vs Heihachi | 16–8 | 66.67% |
| Grimm0083 vs Eddy | 11–10 | 52.38% |
| Grimm0083 vs Xiaoyu | 10–10 | 50.00% |
| Grimm0083 vs Steve | 13–7 | 65.00% |
| Grimm0083 vs Lars | 14–5 | 73.68% |
| Grimm0083 vs Lee | 16–3 | 84.21% |
| Grimm0083 vs Lidia | 13–5 | 72.22% |
| Grimm0083 vs Paul | 11–6 | 64.71% |
| Grimm0083 vs Yoshimitsu | 10–5 | 66.67% |
| Grimm0083 vs Alisa | 8–7 | 53.33% |
| Grimm0083 vs Azucena | 11–4 | 73.33% |
| Grimm0083 vs Feng | 7–7 | 50.00% |
| Grimm0083 vs Nina | 9–5 | 64.29% |
| Grimm0083 vs Jun | 5–9 | 35.71% |
| Grimm0083 vs Hwoarang | 8–5 | 61.54% |
| Grimm0083 vs Claudio | 6–7 | 46.15% |
| Grimm0083 vs Jack-8 | 6–5 | 54.55% |
| Grimm0083 vs Dragunov | 2–9 | 18.18% |
| Grimm0083 vs Asuka | 7–2 | 77.78% |
| Grimm0083 vs Devil Jin | 2–7 | 22.22% |
| Grimm0083 vs Leroy | 6–2 | 75.00% |
| Grimm0083 vs Shaheen | 5–2 | 71.43% |
| Grimm0083 vs Leo | 6–0 | 100.00% |
| Grimm0083 vs Zafina | 1–4 | 20.00% |
| Grimm0083 vs Raven | 4–1 | 80.00% |
| Grimm0083 vs Clive | 4–0 | 100.00% |
| Grimm0083 vs Kuma | 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.