| Squeek vs Jin | 25–30 | 45.45% |
| Squeek vs Kazuya | 24–13 | 64.86% |
| Squeek vs Law | 16–17 | 48.48% |
| Squeek vs Dragunov | 11–22 | 33.33% |
| Squeek vs Reina | 20–10 | 66.67% |
| Squeek vs Steve | 17–10 | 62.96% |
| Squeek vs Eddy | 11–16 | 40.74% |
| Squeek vs Hwoarang | 11–15 | 42.31% |
| Squeek vs King | 11–12 | 47.83% |
| Squeek vs Jun | 14–8 | 63.64% |
| Squeek vs Bryan | 12–9 | 57.14% |
| Squeek vs Yoshimitsu | 12–7 | 63.16% |
| Squeek vs Lee | 9–9 | 50.00% |
| Squeek vs Leroy | 14–4 | 77.78% |
| Squeek vs Lili | 13–3 | 81.25% |
| Squeek vs Nina | 10–6 | 62.50% |
| Squeek vs Azucena | 10–6 | 62.50% |
| Squeek vs Lars | 9–5 | 64.29% |
| Squeek vs Asuka | 7–6 | 53.85% |
| Squeek vs Raven | 6–7 | 46.15% |
| Squeek vs Xiaoyu | 7–5 | 58.33% |
| Squeek vs Alisa | 7–5 | 58.33% |
| Squeek vs Feng | 7–3 | 70.00% |
| Squeek vs Kuma | 4–6 | 40.00% |
| Squeek vs Zafina | 6–4 | 60.00% |
| Squeek vs Jack-8 | 6–2 | 75.00% |
| Squeek vs Lidia | 3–5 | 37.50% |
| Squeek vs Leo | 3–4 | 42.86% |
| Squeek vs Victor | 4–3 | 57.14% |
| Squeek vs Paul | 5–1 | 83.33% |
| Squeek vs Claudio | 4–2 | 66.67% |
| Squeek vs Devil Jin | 3–2 | 60.00% |
| Squeek vs Heihachi | 1–4 | 20.00% |
| Squeek vs Clive | 4–1 | 80.00% |
| Squeek vs Panda | 3–1 | 75.00% |
| Squeek vs Anna | 0–2 | 0.00% |
| Squeek vs Fahkumram | 1–1 | 50.00% |
| Squeek vs Armor King | 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.