| Squeegeee vs Steve | 14–34 | 29.17% |
| Squeegeee vs Jin | 15–31 | 32.61% |
| Squeegeee vs Victor | 10–13 | 43.48% |
| Squeegeee vs King | 6–13 | 31.58% |
| Squeegeee vs Jun | 4–14 | 22.22% |
| Squeegeee vs Asuka | 6–9 | 40.00% |
| Squeegeee vs Lee | 3–12 | 20.00% |
| Squeegeee vs Law | 4–10 | 28.57% |
| Squeegeee vs Reina | 2–12 | 14.29% |
| Squeegeee vs Leo | 5–8 | 38.46% |
| Squeegeee vs Azucena | 2–11 | 15.38% |
| Squeegeee vs Hwoarang | 2–10 | 16.67% |
| Squeegeee vs Kuma | 1–10 | 9.09% |
| Squeegeee vs Devil Jin | 3–7 | 30.00% |
| Squeegeee vs Dragunov | 2–8 | 20.00% |
| Squeegeee vs Raven | 6–4 | 60.00% |
| Squeegeee vs Heihachi | 4–6 | 40.00% |
| Squeegeee vs Clive | 3–7 | 30.00% |
| Squeegeee vs Miary Zo | 3–7 | 30.00% |
| Squeegeee vs Yoshimitsu | 6–3 | 66.67% |
| Squeegeee vs Bryan | 0–9 | 0.00% |
| Squeegeee vs Kazuya | 6–3 | 66.67% |
| Squeegeee vs Lili | 3–6 | 33.33% |
| Squeegeee vs Armor King | 2–7 | 22.22% |
| Squeegeee vs Nina | 4–4 | 50.00% |
| Squeegeee vs Zafina | 2–6 | 25.00% |
| Squeegeee vs Eddy | 0–7 | 0.00% |
| Squeegeee vs Lidia | 4–3 | 57.14% |
| Squeegeee vs Alisa | 0–6 | 0.00% |
| Squeegeee vs Claudio | 2–4 | 33.33% |
| Squeegeee vs Xiaoyu | 1–4 | 20.00% |
| Squeegeee vs Jack-8 | 3–2 | 60.00% |
| Squeegeee vs Anna | 1–4 | 20.00% |
| Squeegeee vs Shaheen | 0–4 | 0.00% |
| Squeegeee vs Fahkumram | 2–2 | 50.00% |
| Squeegeee vs Paul | 0–3 | 0.00% |
| Squeegeee vs Feng | 2–1 | 66.67% |
| Squeegeee vs Lars | 0–3 | 0.00% |
| Squeegeee vs Panda | 0–3 | 0.00% |
| Squeegeee vs Leroy | 0–3 | 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.