| Lord Grim vs Bryan | 47–36 | 56.63% |
| Lord Grim vs Reina | 44–37 | 54.32% |
| Lord Grim vs Azucena | 36–22 | 62.07% |
| Lord Grim vs Kazuya | 29–24 | 54.72% |
| Lord Grim vs Jin | 28–21 | 57.14% |
| Lord Grim vs Hwoarang | 29–16 | 64.44% |
| Lord Grim vs Lili | 28–17 | 62.22% |
| Lord Grim vs King | 25–18 | 58.14% |
| Lord Grim vs Lidia | 25–17 | 59.52% |
| Lord Grim vs Law | 26–15 | 63.41% |
| Lord Grim vs Yoshimitsu | 22–15 | 59.46% |
| Lord Grim vs Steve | 21–16 | 56.76% |
| Lord Grim vs Lee | 19–14 | 57.58% |
| Lord Grim vs Jun | 15–18 | 45.45% |
| Lord Grim vs Dragunov | 20–12 | 62.50% |
| Lord Grim vs Heihachi | 20–12 | 62.50% |
| Lord Grim vs Xiaoyu | 17–13 | 56.67% |
| Lord Grim vs Devil Jin | 12–17 | 41.38% |
| Lord Grim vs Lars | 22–7 | 75.86% |
| Lord Grim vs Paul | 13–14 | 48.15% |
| Lord Grim vs Jack-8 | 14–11–1 | 56.00% |
| Lord Grim vs Feng | 14–12 | 53.85% |
| Lord Grim vs Alisa | 11–15 | 42.31% |
| Lord Grim vs Nina | 14–12 | 53.85% |
| Lord Grim vs Victor | 19–4 | 82.61% |
| Lord Grim vs Asuka | 7–14 | 33.33% |
| Lord Grim vs Raven | 6–14 | 30.00% |
| Lord Grim vs Zafina | 9–10 | 47.37% |
| Lord Grim vs Eddy | 12–6 | 66.67% |
| Lord Grim vs Fahkumram | 9–8 | 52.94% |
| Lord Grim vs Leroy | 5–11 | 31.25% |
| Lord Grim vs Leo | 8–7 | 53.33% |
| Lord Grim vs Claudio | 4–10 | 28.57% |
| Lord Grim vs Kuma | 7–6 | 53.85% |
| Lord Grim vs Miary Zo | 7–6 | 53.85% |
| Lord Grim vs Armor King | 11–1 | 91.67% |
| Lord Grim vs Shaheen | 1–3 | 25.00% |
| Lord Grim vs Panda | 3–0 | 100.00% |
| Lord Grim vs Anna | 0–3 | 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.