| GicleurCinglé vs Miary Zo | 24–15 | 61.54% |
| GicleurCinglé vs Jin | 12–13 | 48.00% |
| GicleurCinglé vs Reina | 15–8 | 65.22% |
| GicleurCinglé vs Steve | 9–11 | 45.00% |
| GicleurCinglé vs Kazuya | 6–12 | 33.33% |
| GicleurCinglé vs Armor King | 7–10 | 41.18% |
| GicleurCinglé vs King | 6–10 | 37.50% |
| GicleurCinglé vs Law | 6–6 | 50.00% |
| GicleurCinglé vs Hwoarang | 3–8 | 27.27% |
| GicleurCinglé vs Dragunov | 3–7 | 30.00% |
| GicleurCinglé vs Jun | 6–3 | 66.67% |
| GicleurCinglé vs Azucena | 7–1 | 87.50% |
| GicleurCinglé vs Lidia | 6–1 | 85.71% |
| GicleurCinglé vs Yoshimitsu | 3–3 | 50.00% |
| GicleurCinglé vs Victor | 5–1 | 83.33% |
| GicleurCinglé vs Heihachi | 3–3 | 50.00% |
| GicleurCinglé vs Paul | 1–4 | 20.00% |
| GicleurCinglé vs Asuka | 2–3 | 40.00% |
| GicleurCinglé vs Devil Jin | 3–2 | 60.00% |
| GicleurCinglé vs Alisa | 1–4 | 20.00% |
| GicleurCinglé vs Eddy | 3–2 | 60.00% |
| GicleurCinglé vs Clive | 3–2 | 60.00% |
| GicleurCinglé vs Bryan | 3–1 | 75.00% |
| GicleurCinglé vs Lili | 2–2 | 50.00% |
| GicleurCinglé vs Nina | 2–2 | 50.00% |
| GicleurCinglé vs Lee | 2–2 | 50.00% |
| GicleurCinglé vs Zafina | 3–1 | 75.00% |
| GicleurCinglé vs Raven | 3–1 | 75.00% |
| GicleurCinglé vs Fahkumram | 2–2 | 50.00% |
| GicleurCinglé vs Leo | 1–2 | 33.33% |
| GicleurCinglé vs Lars | 3–0 | 100.00% |
| GicleurCinglé vs Jack-8 | 0–2 | 0.00% |
| GicleurCinglé vs Feng | 0–2 | 0.00% |
| GicleurCinglé vs Claudio | 2–0 | 100.00% |
| GicleurCinglé vs Kuma | 2–0 | 100.00% |
| GicleurCinglé vs Panda | 1–1 | 50.00% |
| GicleurCinglé vs Anna | 0–2 | 0.00% |
| GicleurCinglé vs Xiaoyu | 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.