| Young.Squilliam vs Jin | 15–7 | 68.18% |
| Young.Squilliam vs King | 13–8 | 61.90% |
| Young.Squilliam vs Eddy | 6–10 | 37.50% |
| Young.Squilliam vs Asuka | 7–6 | 53.85% |
| Young.Squilliam vs Dragunov | 7–6 | 53.85% |
| Young.Squilliam vs Bryan | 2–10 | 16.67% |
| Young.Squilliam vs Yoshimitsu | 6–5 | 54.55% |
| Young.Squilliam vs Jun | 10–1 | 90.91% |
| Young.Squilliam vs Kazuya | 5–5 | 50.00% |
| Young.Squilliam vs Steve | 9–1 | 90.00% |
| Young.Squilliam vs Lili | 6–2 | 75.00% |
| Young.Squilliam vs Reina | 6–2 | 75.00% |
| Young.Squilliam vs Miary Zo | 6–1 | 85.71% |
| Young.Squilliam vs Lee | 2–4 | 33.33% |
| Young.Squilliam vs Law | 3–2 | 60.00% |
| Young.Squilliam vs Zafina | 3–2 | 60.00% |
| Young.Squilliam vs Devil Jin | 2–2 | 50.00% |
| Young.Squilliam vs Lars | 2–2 | 50.00% |
| Young.Squilliam vs Claudio | 2–2 | 50.00% |
| Young.Squilliam vs Nina | 2–2 | 50.00% |
| Young.Squilliam vs Kuma | 0–4 | 0.00% |
| Young.Squilliam vs Heihachi | 2–2 | 50.00% |
| Young.Squilliam vs Hwoarang | 1–2 | 33.33% |
| Young.Squilliam vs Xiaoyu | 2–1 | 66.67% |
| Young.Squilliam vs Alisa | 1–2 | 33.33% |
| Young.Squilliam vs Panda | 2–1 | 66.67% |
| Young.Squilliam vs Leroy | 2–1 | 66.67% |
| Young.Squilliam vs Armor King | 1–2 | 33.33% |
| Young.Squilliam vs Paul | 0–2 | 0.00% |
| Young.Squilliam vs Leo | 2–0 | 100.00% |
| Young.Squilliam vs Azucena | 2–0 | 100.00% |
| Young.Squilliam vs Victor | 1–1 | 50.00% |
| Young.Squilliam vs Raven | 2–0 | 100.00% |
| Young.Squilliam vs Jack-8 | 0–1 | 0.00% |
| Young.Squilliam vs Anna | 1–0 | 100.00% |
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.