| o silv vs Kazuya | 52–43 | 54.74% |
| o silv vs Bryan | 46–44 | 51.11% |
| o silv vs King | 49–35 | 58.33% |
| o silv vs Steve | 37–26 | 58.73% |
| o silv vs Jin | 41–21 | 66.13% |
| o silv vs Dragunov | 23–17 | 57.50% |
| o silv vs Lee | 20–20 | 50.00% |
| o silv vs Reina | 28–11 | 71.79% |
| o silv vs Hwoarang | 18–20 | 47.37% |
| o silv vs Asuka | 23–11 | 67.65% |
| o silv vs Paul | 19–12 | 61.29% |
| o silv vs Clive | 14–17 | 45.16% |
| o silv vs Devil Jin | 15–14 | 51.72% |
| o silv vs Yoshimitsu | 19–8 | 70.37% |
| o silv vs Xiaoyu | 12–12 | 50.00% |
| o silv vs Law | 14–9 | 60.87% |
| o silv vs Victor | 16–7 | 69.57% |
| o silv vs Lili | 17–5 | 77.27% |
| o silv vs Claudio | 14–7 | 66.67% |
| o silv vs Leo | 11–8 | 57.89% |
| o silv vs Lars | 12–5 | 70.59% |
| o silv vs Nina | 8–9 | 47.06% |
| o silv vs Jun | 10–7 | 58.82% |
| o silv vs Azucena | 11–6 | 64.71% |
| o silv vs Eddy | 6–9 | 40.00% |
| o silv vs Jack-8 | 9–5 | 64.29% |
| o silv vs Leroy | 8–5 | 61.54% |
| o silv vs Heihachi | 5–7 | 41.67% |
| o silv vs Kuma | 5–6 | 45.45% |
| o silv vs Raven | 4–7 | 36.36% |
| o silv vs Lidia | 6–5 | 54.55% |
| o silv vs Alisa | 5–4 | 55.56% |
| o silv vs Shaheen | 4–3 | 57.14% |
| o silv vs Feng | 1–5 | 16.67% |
| o silv vs Zafina | 3–3 | 50.00% |
| o silv vs Panda | 2–2 | 50.00% |
| o silv vs Anna | 0–4 | 0.00% |
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.