| Squishima vs Heihachi | 77–67 | 53.47% |
| Squishima vs King | 67–47 | 58.77% |
| Squishima vs Kazuya | 53–34 | 60.92% |
| Squishima vs Reina | 40–43 | 48.19% |
| Squishima vs Jin | 43–32 | 57.33% |
| Squishima vs Dragunov | 32–34 | 48.48% |
| Squishima vs Steve | 25–39 | 39.06% |
| Squishima vs Jun | 26–26 | 50.00% |
| Squishima vs Asuka | 25–25 | 50.00% |
| Squishima vs Hwoarang | 23–26 | 46.94% |
| Squishima vs Lili | 21–27 | 43.75% |
| Squishima vs Azucena | 26–22 | 54.17% |
| Squishima vs Bryan | 20–27 | 42.55% |
| Squishima vs Eddy | 21–25 | 45.65% |
| Squishima vs Lee | 12–32 | 27.27% |
| Squishima vs Devil Jin | 15–26 | 36.59% |
| Squishima vs Law | 14–26 | 35.00% |
| Squishima vs Yoshimitsu | 20–20 | 50.00% |
| Squishima vs Paul | 20–19 | 51.28% |
| Squishima vs Xiaoyu | 23–16 | 58.97% |
| Squishima vs Nina | 24–12 | 66.67% |
| Squishima vs Victor | 25–10 | 71.43% |
| Squishima vs Lidia | 19–16 | 54.29% |
| Squishima vs Alisa | 12–22 | 35.29% |
| Squishima vs Lars | 11–13 | 45.83% |
| Squishima vs Leroy | 10–13 | 43.48% |
| Squishima vs Feng | 8–14 | 36.36% |
| Squishima vs Kuma | 8–13 | 38.10% |
| Squishima vs Raven | 10–11 | 47.62% |
| Squishima vs Claudio | 12–8 | 60.00% |
| Squishima vs Jack-8 | 9–10 | 47.37% |
| Squishima vs Shaheen | 7–12 | 36.84% |
| Squishima vs Leo | 4–9 | 30.77% |
| Squishima vs Clive | 8–5 | 61.54% |
| Squishima vs Zafina | 3–8 | 27.27% |
| Squishima vs Fahkumram | 4–4 | 50.00% |
| Squishima vs Panda | 4–0 | 100.00% |
| Squishima vs Armor King | 1–2 | 33.33% |
| Squishima vs Anna | 2–0 | 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.