| GLARMKL vs King | 54–37 | 59.34% |
| GLARMKL vs Kazuya | 48–40 | 54.55% |
| GLARMKL vs Law | 34–37 | 47.89% |
| GLARMKL vs Steve | 32–28 | 53.33% |
| GLARMKL vs Jin | 33–26 | 55.93% |
| GLARMKL vs Bryan | 33–24 | 57.89% |
| GLARMKL vs Reina | 30–26 | 53.57% |
| GLARMKL vs Dragunov | 32–19 | 62.75% |
| GLARMKL vs Hwoarang | 30–19 | 61.22% |
| GLARMKL vs Lili | 20–28 | 41.67% |
| GLARMKL vs Yoshimitsu | 20–24 | 45.45% |
| GLARMKL vs Asuka | 26–17 | 60.47% |
| GLARMKL vs Xiaoyu | 22–12 | 64.71% |
| GLARMKL vs Paul | 19–13 | 59.38% |
| GLARMKL vs Leroy | 16–16 | 50.00% |
| GLARMKL vs Victor | 13–16 | 44.83% |
| GLARMKL vs Azucena | 16–12 | 57.14% |
| GLARMKL vs Eddy | 13–15 | 46.43% |
| GLARMKL vs Lidia | 16–12 | 57.14% |
| GLARMKL vs Clive | 9–15 | 37.50% |
| GLARMKL vs Nina | 12–11 | 52.17% |
| GLARMKL vs Devil Jin | 13–7 | 65.00% |
| GLARMKL vs Kuma | 8–11 | 42.11% |
| GLARMKL vs Raven | 9–10 | 47.37% |
| GLARMKL vs Lars | 9–9 | 50.00% |
| GLARMKL vs Jun | 12–5 | 70.59% |
| GLARMKL vs Alisa | 8–8 | 50.00% |
| GLARMKL vs Lee | 5–11 | 31.25% |
| GLARMKL vs Heihachi | 9–7 | 56.25% |
| GLARMKL vs Feng | 5–7 | 41.67% |
| GLARMKL vs Zafina | 7–5 | 58.33% |
| GLARMKL vs Jack-8 | 7–4 | 63.64% |
| GLARMKL vs Fahkumram | 6–5 | 54.55% |
| GLARMKL vs Leo | 7–3 | 70.00% |
| GLARMKL vs Panda | 5–5 | 50.00% |
| GLARMKL vs Claudio | 7–2 | 77.78% |
| GLARMKL vs Armor King | 3–6 | 33.33% |
| GLARMKL vs Shaheen | 3–5 | 37.50% |
| GLARMKL vs Miary Zo | 1–4 | 20.00% |
| GLARMKL vs Anna | 1–2 | 33.33% |
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.