| i eat glue vs Armor King | 22–26 | 45.83% |
| i eat glue vs King | 15–18 | 45.45% |
| i eat glue vs Steve | 16–14 | 53.33% |
| i eat glue vs Reina | 19–8 | 70.37% |
| i eat glue vs Kazuya | 11–13 | 45.83% |
| i eat glue vs Jin | 9–7 | 56.25% |
| i eat glue vs Bryan | 10–6 | 62.50% |
| i eat glue vs Paul | 9–5 | 64.29% |
| i eat glue vs Lars | 9–5 | 64.29% |
| i eat glue vs Lee | 6–8 | 42.86% |
| i eat glue vs Fahkumram | 9–5 | 64.29% |
| i eat glue vs Lili | 6–7 | 46.15% |
| i eat glue vs Victor | 8–5 | 61.54% |
| i eat glue vs Jun | 2–10 | 16.67% |
| i eat glue vs Law | 3–8 | 27.27% |
| i eat glue vs Hwoarang | 8–3 | 72.73% |
| i eat glue vs Asuka | 5–6 | 45.45% |
| i eat glue vs Heihachi | 4–7 | 36.36% |
| i eat glue vs Azucena | 8–2 | 80.00% |
| i eat glue vs Eddy | 2–8 | 20.00% |
| i eat glue vs Feng | 4–5 | 44.44% |
| i eat glue vs Nina | 4–5 | 44.44% |
| i eat glue vs Xiaoyu | 5–2 | 71.43% |
| i eat glue vs Anna | 6–1 | 85.71% |
| i eat glue vs Yoshimitsu | 4–2 | 66.67% |
| i eat glue vs Devil Jin | 1–5 | 16.67% |
| i eat glue vs Alisa | 3–3 | 50.00% |
| i eat glue vs Clive | 1–5 | 16.67% |
| i eat glue vs Jack-8 | 3–2 | 60.00% |
| i eat glue vs Dragunov | 5–0 | 100.00% |
| i eat glue vs Kuma | 2–3 | 40.00% |
| i eat glue vs Miary Zo | 2–3 | 40.00% |
| i eat glue vs Claudio | 1–3 | 25.00% |
| i eat glue vs Shaheen | 1–2 | 33.33% |
| i eat glue vs Zafina | 2–1 | 66.67% |
| i eat glue vs Raven | 2–1 | 66.67% |
| i eat glue vs Panda | 0–2 | 0.00% |
| i eat glue vs Leroy | 1–1 | 50.00% |
| i eat glue vs Leo | 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.