| SquallGCS vs Kazuya | 117–122 | 48.95% |
| SquallGCS vs Jin | 87–114 | 43.28% |
| SquallGCS vs Bryan | 65–90 | 41.94% |
| SquallGCS vs Fahkumram | 62–88 | 41.33% |
| SquallGCS vs King | 72–66 | 52.17% |
| SquallGCS vs Reina | 67–69 | 49.26% |
| SquallGCS vs Paul | 55–68 | 44.72% |
| SquallGCS vs Yoshimitsu | 61–61 | 50.00% |
| SquallGCS vs Law | 59–55 | 51.75% |
| SquallGCS vs Heihachi | 49–63 | 43.75% |
| SquallGCS vs Dragunov | 44–67 | 39.64% |
| SquallGCS vs Hwoarang | 42–65 | 39.25% |
| SquallGCS vs Jun | 57–43 | 57.00% |
| SquallGCS vs Steve | 35–58 | 37.63% |
| SquallGCS vs Lili | 34–48 | 41.46% |
| SquallGCS vs Devil Jin | 25–44 | 36.23% |
| SquallGCS vs Eddy | 28–31 | 47.46% |
| SquallGCS vs Anna | 23–34 | 40.35% |
| SquallGCS vs Lee | 27–26 | 50.94% |
| SquallGCS vs Lars | 20–29 | 40.82% |
| SquallGCS vs Asuka | 20–28 | 41.67% |
| SquallGCS vs Azucena | 20–25 | 44.44% |
| SquallGCS vs Victor | 15–30 | 33.33% |
| SquallGCS vs Clive | 26–18 | 59.09% |
| SquallGCS vs Feng | 15–27 | 35.71% |
| SquallGCS vs Claudio | 20–22 | 47.62% |
| SquallGCS vs Nina | 19–23 | 45.24% |
| SquallGCS vs Xiaoyu | 15–25 | 37.50% |
| SquallGCS vs Lidia | 15–25 | 37.50% |
| SquallGCS vs Jack-8 | 19–19 | 50.00% |
| SquallGCS vs Alisa | 14–20 | 41.18% |
| SquallGCS vs Raven | 8–17 | 32.00% |
| SquallGCS vs Leo | 8–12 | 40.00% |
| SquallGCS vs Shaheen | 4–16 | 20.00% |
| SquallGCS vs Kuma | 5–9 | 35.71% |
| SquallGCS vs Panda | 4–10 | 28.57% |
| SquallGCS vs Leroy | 6–7 | 46.15% |
| SquallGCS vs Zafina | 5–7 | 41.67% |
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.