| Squilliam vs Reina | 54–43 | 55.67% |
| Squilliam vs Kazuya | 47–45 | 51.09% |
| Squilliam vs King | 35–28 | 55.56% |
| Squilliam vs Bryan | 29–31 | 48.33% |
| Squilliam vs Yoshimitsu | 29–28 | 50.88% |
| Squilliam vs Jin | 19–29 | 39.58% |
| Squilliam vs Lars | 21–24 | 46.67% |
| Squilliam vs Lili | 27–13 | 67.50% |
| Squilliam vs Nina | 20–20 | 50.00% |
| Squilliam vs Heihachi | 19–21 | 47.50% |
| Squilliam vs Steve | 19–20 | 48.72% |
| Squilliam vs Dragunov | 22–15 | 59.46% |
| Squilliam vs Hwoarang | 18–17 | 51.43% |
| Squilliam vs Lee | 23–12 | 65.71% |
| Squilliam vs Clive | 18–15 | 54.55% |
| Squilliam vs Law | 17–13 | 56.67% |
| Squilliam vs Devil Jin | 14–15 | 48.28% |
| Squilliam vs Leroy | 12–13 | 48.00% |
| Squilliam vs Azucena | 10–15 | 40.00% |
| Squilliam vs Victor | 13–9 | 59.09% |
| Squilliam vs Eddy | 6–16 | 27.27% |
| Squilliam vs Asuka | 10–10 | 50.00% |
| Squilliam vs Claudio | 10–10 | 50.00% |
| Squilliam vs Jun | 10–9 | 52.63% |
| Squilliam vs Raven | 12–7 | 63.16% |
| Squilliam vs Xiaoyu | 5–13 | 27.78% |
| Squilliam vs Jack-8 | 9–8 | 52.94% |
| Squilliam vs Lidia | 6–11 | 35.29% |
| Squilliam vs Paul | 6–10 | 37.50% |
| Squilliam vs Leo | 7–8 | 46.67% |
| Squilliam vs Alisa | 6–8 | 42.86% |
| Squilliam vs Feng | 0–10 | 0.00% |
| Squilliam vs Fahkumram | 2–6 | 25.00% |
| Squilliam vs Shaheen | 4–2 | 66.67% |
| Squilliam vs Kuma | 2–4 | 33.33% |
| Squilliam vs Armor King | 2–3 | 40.00% |
| Squilliam vs Anna | 4–0 | 100.00% |
| Squilliam vs Panda | 1–2 | 33.33% |
| Squilliam vs Zafina | 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.