| Slvrdragon vs Clive | 55–37 | 59.78% |
| Slvrdragon vs Jin | 47–32 | 59.49% |
| Slvrdragon vs King | 48–26 | 64.86% |
| Slvrdragon vs Kazuya | 42–24 | 63.64% |
| Slvrdragon vs Reina | 33–27 | 55.00% |
| Slvrdragon vs Yoshimitsu | 35–22 | 61.40% |
| Slvrdragon vs Steve | 25–29 | 46.30% |
| Slvrdragon vs Bryan | 29–22 | 56.86% |
| Slvrdragon vs Eddy | 24–22 | 52.17% |
| Slvrdragon vs Jun | 24–21 | 53.33% |
| Slvrdragon vs Law | 23–21 | 52.27% |
| Slvrdragon vs Hwoarang | 22–20 | 52.38% |
| Slvrdragon vs Xiaoyu | 25–15 | 62.50% |
| Slvrdragon vs Lee | 26–11 | 70.27% |
| Slvrdragon vs Dragunov | 16–20 | 44.44% |
| Slvrdragon vs Nina | 19–17 | 52.78% |
| Slvrdragon vs Asuka | 21–13 | 61.76% |
| Slvrdragon vs Paul | 17–14 | 54.84% |
| Slvrdragon vs Lili | 15–15 | 50.00% |
| Slvrdragon vs Raven | 16–14 | 53.33% |
| Slvrdragon vs Devil Jin | 12–16 | 42.86% |
| Slvrdragon vs Lars | 18–10 | 64.29% |
| Slvrdragon vs Victor | 20–8 | 71.43% |
| Slvrdragon vs Leo | 9–16 | 36.00% |
| Slvrdragon vs Azucena | 10–13 | 43.48% |
| Slvrdragon vs Feng | 10–12 | 45.45% |
| Slvrdragon vs Alisa | 12–8 | 60.00% |
| Slvrdragon vs Shaheen | 10–9 | 52.63% |
| Slvrdragon vs Zafina | 7–9 | 43.75% |
| Slvrdragon vs Jack-8 | 7–6 | 53.85% |
| Slvrdragon vs Kuma | 6–4 | 60.00% |
| Slvrdragon vs Leroy | 6–4 | 60.00% |
| Slvrdragon vs Panda | 2–4 | 33.33% |
| Slvrdragon vs Lidia | 5–1 | 83.33% |
| Slvrdragon vs Heihachi | 1–4 | 20.00% |
| Slvrdragon vs Anna | 4–1 | 80.00% |
| Slvrdragon vs Fahkumram | 2–1 | 66.67% |
| Slvrdragon vs Claudio | 0–2 | 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.