| Silly Goose vs Jin | 90–96 | 48.39% |
| Silly Goose vs Steve | 82–80 | 50.62% |
| Silly Goose vs Hwoarang | 74–83 | 47.13% |
| Silly Goose vs King | 72–80 | 47.37% |
| Silly Goose vs Kazuya | 64–79 | 44.76% |
| Silly Goose vs Reina | 64–75 | 46.04% |
| Silly Goose vs Law | 72–55 | 56.69% |
| Silly Goose vs Bryan | 60–64 | 48.39% |
| Silly Goose vs Paul | 66–47 | 58.41% |
| Silly Goose vs Yoshimitsu | 50–56 | 47.17% |
| Silly Goose vs Lars | 52–54 | 49.06% |
| Silly Goose vs Lili | 62–42 | 59.62% |
| Silly Goose vs Azucena | 45–55 | 45.00% |
| Silly Goose vs Eddy | 59–37 | 61.46% |
| Silly Goose vs Feng | 47–47 | 50.00% |
| Silly Goose vs Dragunov | 44–49 | 47.31% |
| Silly Goose vs Lee | 43–46 | 48.31% |
| Silly Goose vs Jun | 42–45 | 48.28% |
| Silly Goose vs Devil Jin | 38–47 | 44.71% |
| Silly Goose vs Leo | 43–39 | 52.44% |
| Silly Goose vs Xiaoyu | 41–40 | 50.62% |
| Silly Goose vs Raven | 33–43 | 43.42% |
| Silly Goose vs Nina | 34–31 | 52.31% |
| Silly Goose vs Asuka | 27–33 | 45.00% |
| Silly Goose vs Leroy | 33–27 | 55.00% |
| Silly Goose vs Victor | 27–31 | 46.55% |
| Silly Goose vs Alisa | 28–12 | 70.00% |
| Silly Goose vs Lidia | 13–24 | 35.14% |
| Silly Goose vs Jack-8 | 13–20 | 39.39% |
| Silly Goose vs Heihachi | 15–17 | 46.88% |
| Silly Goose vs Claudio | 15–16 | 48.39% |
| Silly Goose vs Kuma | 15–16 | 48.39% |
| Silly Goose vs Zafina | 12–18 | 40.00% |
| Silly Goose vs Shaheen | 15–14 | 51.72% |
| Silly Goose vs Anna | 1–4 | 20.00% |
| Silly Goose vs Armor King | 4–1 | 80.00% |
| Silly Goose vs Panda | 1–3 | 25.00% |
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.