| squall vs Kazuya | 86–57 | 60.14% |
| squall vs Bryan | 92–41 | 69.17% |
| squall vs Paul | 67–65 | 50.76% |
| squall vs Lili | 84–45 | 65.12% |
| squall vs Jin | 68–51 | 57.14% |
| squall vs Hwoarang | 49–67 | 42.24% |
| squall vs Reina | 62–50 | 55.36% |
| squall vs Asuka | 55–48 | 53.40% |
| squall vs King | 53–49 | 51.96% |
| squall vs Dragunov | 62–36–1 | 63.27% |
| squall vs Nina | 43–40 | 51.81% |
| squall vs Azucena | 39–38 | 50.65% |
| squall vs Yoshimitsu | 37–39 | 48.68% |
| squall vs Victor | 41–34 | 54.67% |
| squall vs Jun | 46–28 | 62.16% |
| squall vs Steve | 40–31 | 56.34% |
| squall vs Alisa | 47–24 | 66.20% |
| squall vs Feng | 36–29 | 55.38% |
| squall vs Law | 29–31 | 48.33% |
| squall vs Leroy | 38–22 | 63.33% |
| squall vs Lars | 41–17 | 70.69% |
| squall vs Lee | 28–28 | 50.00% |
| squall vs Lidia | 27–29 | 48.21% |
| squall vs Devil Jin | 29–26 | 52.73% |
| squall vs Eddy | 20–35 | 36.36% |
| squall vs Claudio | 34–17 | 66.67% |
| squall vs Xiaoyu | 31–19 | 62.00% |
| squall vs Jack-8 | 23–23 | 50.00% |
| squall vs Leo | 26–16 | 61.90% |
| squall vs Zafina | 25–13 | 65.79% |
| squall vs Shaheen | 17–20 | 45.95% |
| squall vs Heihachi | 22–15 | 59.46% |
| squall vs Raven | 16–18 | 47.06% |
| squall vs Kuma | 15–16 | 48.39% |
| squall vs Clive | 12–13 | 48.00% |
| squall vs Armor King | 14–6 | 70.00% |
| squall vs Panda | 8–9–1 | 47.06% |
| squall vs Miary Zo | 13–5 | 72.22% |
| squall vs Fahkumram | 5–6 | 45.45% |
| squall vs Anna | 5–4 | 55.56% |
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.