| Silksong vs Kazuya | 84–29 | 74.34% |
| Silksong vs Jin | 62–28 | 68.89% |
| Silksong vs Reina | 58–18 | 76.32% |
| Silksong vs King | 55–20 | 73.33% |
| Silksong vs Bryan | 44–31 | 58.67% |
| Silksong vs Hwoarang | 46–25 | 64.79% |
| Silksong vs Dragunov | 46–22 | 67.65% |
| Silksong vs Paul | 36–23 | 61.02% |
| Silksong vs Law | 40–17 | 70.18% |
| Silksong vs Steve | 41–15 | 73.21% |
| Silksong vs Devil Jin | 37–19 | 66.07% |
| Silksong vs Eddy | 42–14 | 75.00% |
| Silksong vs Heihachi | 33–21 | 61.11% |
| Silksong vs Yoshimitsu | 38–13 | 74.51% |
| Silksong vs Lars | 37–13 | 74.00% |
| Silksong vs Lili | 36–12 | 75.00% |
| Silksong vs Nina | 33–11 | 75.00% |
| Silksong vs Lee | 32–11 | 74.42% |
| Silksong vs Feng | 27–15 | 64.29% |
| Silksong vs Anna | 24–17 | 58.54% |
| Silksong vs Azucena | 31–7 | 81.58% |
| Silksong vs Xiaoyu | 27–7 | 79.41% |
| Silksong vs Asuka | 24–10 | 70.59% |
| Silksong vs Jun | 23–9 | 71.88% |
| Silksong vs Alisa | 20–9 | 68.97% |
| Silksong vs Leroy | 21–7 | 75.00% |
| Silksong vs Clive | 17–11 | 60.71% |
| Silksong vs Jack-8 | 16–11 | 59.26% |
| Silksong vs Zafina | 21–5 | 80.77% |
| Silksong vs Victor | 15–11 | 57.69% |
| Silksong vs Raven | 16–8 | 66.67% |
| Silksong vs Fahkumram | 12–10 | 54.55% |
| Silksong vs Claudio | 16–5 | 76.19% |
| Silksong vs Kuma | 11–8 | 57.89% |
| Silksong vs Leo | 10–6 | 62.50% |
| Silksong vs Armor King | 11–3 | 78.57% |
| Silksong vs Lidia | 8–4 | 66.67% |
| Silksong vs Panda | 8–2 | 80.00% |
| Silksong vs Shaheen | 2–5 | 28.57% |
| Silksong vs Miary Zo | 1–0 | 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.