| SilkyGoose vs Clive | 24–46 | 34.29% |
| SilkyGoose vs Jin | 34–31 | 52.31% |
| SilkyGoose vs Kazuya | 25–36 | 40.98% |
| SilkyGoose vs King | 15–38 | 28.30% |
| SilkyGoose vs Reina | 26–26 | 50.00% |
| SilkyGoose vs Bryan | 21–26 | 44.68% |
| SilkyGoose vs Hwoarang | 12–34 | 26.09% |
| SilkyGoose vs Heihachi | 26–20 | 56.52% |
| SilkyGoose vs Steve | 20–23 | 46.51% |
| SilkyGoose vs Dragunov | 16–18 | 47.06% |
| SilkyGoose vs Law | 14–18 | 43.75% |
| SilkyGoose vs Jack-8 | 14–16 | 46.67% |
| SilkyGoose vs Lili | 14–16 | 46.67% |
| SilkyGoose vs Paul | 12–17 | 41.38% |
| SilkyGoose vs Victor | 8–20 | 28.57% |
| SilkyGoose vs Azucena | 11–16 | 40.74% |
| SilkyGoose vs Eddy | 12–14 | 46.15% |
| SilkyGoose vs Lidia | 12–14 | 46.15% |
| SilkyGoose vs Lee | 8–16 | 33.33% |
| SilkyGoose vs Yoshimitsu | 10–13 | 43.48% |
| SilkyGoose vs Devil Jin | 6–17 | 26.09% |
| SilkyGoose vs Jun | 12–11 | 52.17% |
| SilkyGoose vs Claudio | 5–16 | 23.81% |
| SilkyGoose vs Nina | 7–14 | 33.33% |
| SilkyGoose vs Asuka | 7–13 | 35.00% |
| SilkyGoose vs Lars | 9–10 | 47.37% |
| SilkyGoose vs Feng | 7–10 | 41.18% |
| SilkyGoose vs Leroy | 7–9 | 43.75% |
| SilkyGoose vs Armor King | 9–5 | 64.29% |
| SilkyGoose vs Kuma | 5–8 | 38.46% |
| SilkyGoose vs Xiaoyu | 9–3 | 75.00% |
| SilkyGoose vs Alisa | 0–11 | 0.00% |
| SilkyGoose vs Leo | 1–5 | 16.67% |
| SilkyGoose vs Raven | 0–6 | 0.00% |
| SilkyGoose vs Shaheen | 2–3 | 40.00% |
| SilkyGoose vs Panda | 0–4 | 0.00% |
| SilkyGoose vs Zafina | 4–0 | 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.