| FreeGlass vs King | 12–25 | 32.43% |
| FreeGlass vs Reina | 14–22 | 38.89% |
| FreeGlass vs Dragunov | 12–22 | 35.29% |
| FreeGlass vs Jin | 11–22 | 33.33% |
| FreeGlass vs Clive | 11–19 | 36.67% |
| FreeGlass vs Law | 12–17 | 41.38% |
| FreeGlass vs Steve | 5–23 | 17.86% |
| FreeGlass vs Kazuya | 11–16 | 40.74% |
| FreeGlass vs Miary Zo | 8–17 | 32.00% |
| FreeGlass vs Armor King | 9–14 | 39.13% |
| FreeGlass vs Eddy | 9–12 | 42.86% |
| FreeGlass vs Asuka | 9–11 | 45.00% |
| FreeGlass vs Lili | 5–14 | 26.32% |
| FreeGlass vs Jun | 5–14 | 26.32% |
| FreeGlass vs Lidia | 6–12 | 33.33% |
| FreeGlass vs Hwoarang | 7–10 | 41.18% |
| FreeGlass vs Bryan | 4–13 | 23.53% |
| FreeGlass vs Azucena | 8–9 | 47.06% |
| FreeGlass vs Heihachi | 8–9 | 47.06% |
| FreeGlass vs Fahkumram | 5–10 | 33.33% |
| FreeGlass vs Xiaoyu | 5–9 | 35.71% |
| FreeGlass vs Lee | 5–8 | 38.46% |
| FreeGlass vs Paul | 2–7 | 22.22% |
| FreeGlass vs Lars | 0–7 | 0.00% |
| FreeGlass vs Yoshimitsu | 5–1 | 83.33% |
| FreeGlass vs Anna | 2–4 | 33.33% |
| FreeGlass vs Feng | 4–1 | 80.00% |
| FreeGlass vs Alisa | 1–4 | 20.00% |
| FreeGlass vs Panda | 3–2 | 60.00% |
| FreeGlass vs Leroy | 1–4 | 20.00% |
| FreeGlass vs Victor | 2–3 | 40.00% |
| FreeGlass vs Nina | 0–4 | 0.00% |
| FreeGlass vs Kuma | 2–2 | 50.00% |
| FreeGlass vs Zafina | 0–4 | 0.00% |
| FreeGlass vs Leo | 1–2 | 33.33% |
| FreeGlass vs Claudio | 0–3 | 0.00% |
| FreeGlass vs Jack-8 | 0–2 | 0.00% |
| FreeGlass vs Shaheen | 0–2 | 0.00% |
| FreeGlass vs Raven | 0–2 | 0.00% |
| FreeGlass vs Devil Jin | 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.