| Glim vs Kazuya | 37–30 | 55.22% |
| Glim vs Bryan | 30–18 | 62.50% |
| Glim vs King | 29–14 | 67.44% |
| Glim vs Jin | 27–11 | 71.05% |
| Glim vs Hwoarang | 19–14 | 57.58% |
| Glim vs Reina | 16–12 | 57.14% |
| Glim vs Steve | 14–11 | 56.00% |
| Glim vs Azucena | 11–12 | 47.83% |
| Glim vs Dragunov | 16–6 | 72.73% |
| Glim vs Lars | 12–9 | 57.14% |
| Glim vs Raven | 6–14 | 30.00% |
| Glim vs Lili | 9–9 | 50.00% |
| Glim vs Heihachi | 10–8 | 55.56% |
| Glim vs Law | 11–6 | 64.71% |
| Glim vs Xiaoyu | 10–7 | 58.82% |
| Glim vs Lee | 10–6 | 62.50% |
| Glim vs Yoshimitsu | 9–6 | 60.00% |
| Glim vs Fahkumram | 8–7 | 53.33% |
| Glim vs Clive | 5–9 | 35.71% |
| Glim vs Asuka | 5–8 | 38.46% |
| Glim vs Jun | 6–7 | 46.15% |
| Glim vs Devil Jin | 6–6 | 50.00% |
| Glim vs Leo | 10–2 | 83.33% |
| Glim vs Paul | 7–3 | 70.00% |
| Glim vs Nina | 8–2 | 80.00% |
| Glim vs Lidia | 6–4 | 60.00% |
| Glim vs Alisa | 6–3 | 66.67% |
| Glim vs Claudio | 4–5 | 44.44% |
| Glim vs Jack-8 | 6–2 | 75.00% |
| Glim vs Kuma | 6–2 | 75.00% |
| Glim vs Leroy | 4–4 | 50.00% |
| Glim vs Victor | 2–5 | 28.57% |
| Glim vs Eddy | 3–4 | 42.86% |
| Glim vs Anna | 2–5 | 28.57% |
| Glim vs Feng | 2–1 | 66.67% |
| Glim vs Shaheen | 2–1 | 66.67% |
| Glim vs Panda | 2–0 | 100.00% |
| Glim vs Zafina | 2–0 | 100.00% |
| Glim vs Miary Zo | 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.