| Glassy vs King | 27–20 | 57.45% |
| Glassy vs Bryan | 21–23 | 47.73% |
| Glassy vs Kazuya | 22–19 | 53.66% |
| Glassy vs Hwoarang | 13–13 | 50.00% |
| Glassy vs Reina | 9–17 | 34.62% |
| Glassy vs Law | 11–14 | 44.00% |
| Glassy vs Jin | 13–12 | 52.00% |
| Glassy vs Paul | 9–15 | 37.50% |
| Glassy vs Yoshimitsu | 11–13 | 45.83% |
| Glassy vs Devil Jin | 11–12 | 47.83% |
| Glassy vs Nina | 14–9 | 60.87% |
| Glassy vs Steve | 13–9 | 59.09% |
| Glassy vs Clive | 10–12 | 45.45% |
| Glassy vs Asuka | 10–10 | 50.00% |
| Glassy vs Dragunov | 8–9 | 47.06% |
| Glassy vs Azucena | 9–8 | 52.94% |
| Glassy vs Lidia | 10–7 | 58.82% |
| Glassy vs Jun | 9–6 | 60.00% |
| Glassy vs Jack-8 | 6–8 | 42.86% |
| Glassy vs Heihachi | 6–8 | 42.86% |
| Glassy vs Victor | 10–3 | 76.92% |
| Glassy vs Xiaoyu | 6–5 | 54.55% |
| Glassy vs Lili | 5–6 | 45.45% |
| Glassy vs Leroy | 8–3 | 72.73% |
| Glassy vs Raven | 6–4 | 60.00% |
| Glassy vs Eddy | 4–6 | 40.00% |
| Glassy vs Feng | 3–5 | 37.50% |
| Glassy vs Zafina | 6–2 | 75.00% |
| Glassy vs Lars | 1–6 | 14.29% |
| Glassy vs Alisa | 3–3 | 50.00% |
| Glassy vs Lee | 2–4 | 33.33% |
| Glassy vs Claudio | 2–3 | 40.00% |
| Glassy vs Leo | 2–1 | 66.67% |
| Glassy vs Panda | 1–2 | 33.33% |
| Glassy vs Anna | 1–2 | 33.33% |
| Glassy vs Fahkumram | 1–2 | 33.33% |
| Glassy vs Shaheen | 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.