| glerpy vs King | 23–26 | 46.94% |
| glerpy vs Reina | 20–19 | 51.28% |
| glerpy vs Hwoarang | 6–20 | 23.08% |
| glerpy vs Kazuya | 11–14 | 44.00% |
| glerpy vs Jin | 10–12 | 45.45% |
| glerpy vs Lili | 11–11 | 50.00% |
| glerpy vs Heihachi | 11–10 | 52.38% |
| glerpy vs Fahkumram | 6–12 | 33.33% |
| glerpy vs Leo | 9–8 | 52.94% |
| glerpy vs Azucena | 6–11 | 35.29% |
| glerpy vs Law | 3–13 | 18.75% |
| glerpy vs Steve | 5–10 | 33.33% |
| glerpy vs Devil Jin | 10–5 | 66.67% |
| glerpy vs Dragunov | 8–7 | 53.33% |
| glerpy vs Victor | 10–5 | 66.67% |
| glerpy vs Paul | 3–7 | 30.00% |
| glerpy vs Yoshimitsu | 6–4 | 60.00% |
| glerpy vs Bryan | 0–10 | 0.00% |
| glerpy vs Clive | 6–4 | 60.00% |
| glerpy vs Leroy | 5–4 | 55.56% |
| glerpy vs Lars | 4–4 | 50.00% |
| glerpy vs Lidia | 8–0 | 100.00% |
| glerpy vs Claudio | 4–3 | 57.14% |
| glerpy vs Lee | 3–4 | 42.86% |
| glerpy vs Eddy | 4–3 | 57.14% |
| glerpy vs Alisa | 3–3 | 50.00% |
| glerpy vs Jun | 4–2 | 66.67% |
| glerpy vs Feng | 0–4 | 0.00% |
| glerpy vs Shaheen | 3–1 | 75.00% |
| glerpy vs Anna | 1–3 | 25.00% |
| glerpy vs Asuka | 2–1 | 66.67% |
| glerpy vs Zafina | 1–2 | 33.33% |
| glerpy vs Xiaoyu | 1–1 | 50.00% |
| glerpy vs Nina | 2–0 | 100.00% |
| glerpy vs Raven | 0–2 | 0.00% |
| glerpy vs Jack-8 | 1–0 | 100.00% |
| glerpy vs Kuma | 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.